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Zemek RM, Anagnostou V, Pires da Silva I, Long GV, Lesterhuis WJ. Exploiting temporal aspects of cancer immunotherapy. Nat Rev Cancer 2024; 24:480-497. [PMID: 38886574 DOI: 10.1038/s41568-024-00699-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/25/2024] [Indexed: 06/20/2024]
Abstract
Many mechanisms underlying an effective immunotherapy-induced antitumour response are transient and critically time dependent. This is equally true for several immunological events in the tumour microenvironment induced by other cancer treatments. Immune checkpoint therapy (ICT) has proven to be very effective in the treatment of some cancers, but unfortunately, with many cancer types, most patients do not experience a benefit. To improve outcomes, a multitude of clinical trials are testing combinations of ICT with various other treatment modalities. Ideally, those combination treatments should take time-dependent immunological events into account. Recent studies have started to map the dynamic cellular and molecular changes that occur during treatment with ICT, in the tumour and systemically. Here, we overlay the dynamic ICT response with the therapeutic response following surgery, radiotherapy, chemotherapy and targeted therapies. We propose that by combining treatments in a time-conscious manner, we may optimally exploit the interactions between the individual therapies.
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Affiliation(s)
- Rachael M Zemek
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Valsamo Anagnostou
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Inês Pires da Silva
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine & Health, The University of Sydney, Sydney, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Crown Princess Mary Cancer Centre Westmead, Blacktown Hospital, Sydney, New South Wales, Australia
| | - Georgina V Long
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine & Health, The University of Sydney, Sydney, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Royal North Shore and Mater Hospitals, Sydney, New South Wales, Australia
| | - Willem Joost Lesterhuis
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia.
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2
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Kaptein P, Slingerland N, Metoikidou C, Prinz F, Brokamp S, Machuca-Ostos M, de Roo G, Schumacher TN, Yeung YA, Moynihan KD, Djuretic IM, Thommen DS. CD8-Targeted IL2 Unleashes Tumor-Specific Immunity in Human Cancer Tissue by Reviving the Dysfunctional T-cell Pool. Cancer Discov 2024; 14:1226-1251. [PMID: 38563969 PMCID: PMC11215409 DOI: 10.1158/2159-8290.cd-23-1263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/05/2024] [Accepted: 03/26/2024] [Indexed: 04/04/2024]
Abstract
Tumor-specific CD8+ T cells are key effectors of antitumor immunity but are often rendered dysfunctional in the tumor microenvironment. Immune-checkpoint blockade can restore antitumor T-cell function in some patients; however, most do not respond to this therapy, often despite T-cell infiltration in their tumors. We here explored a CD8-targeted IL2 fusion molecule (CD8-IL2) to selectively reactivate intratumoral CD8+ T cells in patient-derived tumor fragments. Treatment with CD8-IL2 broadly armed intratumoral CD8+ T cells with enhanced effector capacity, thereby specifically enabling reinvigoration of the dysfunctional T-cell pool to elicit potent immune activity. Notably, the revival of dysfunctional T cells to mediate effector activity by CD8-IL2 depended on simultaneous antigen recognition and was quantitatively and qualitatively superior to that achieved by PD-1 blockade. Finally, CD8-IL2 was able to functionally reinvigorate T cells in tumors resistant to anti-PD-1, underscoring its potential as a novel treatment strategy for patients with cancer. Significance: Reinvigorating T cells is crucial for response to checkpoint blockade therapy. However, emerging evidence suggests that the PD-1/PD-L1 axis is not the sole impediment for activating T cells within tumors. Selectively targeting cytokines toward specific T-cell subsets might overcome these barriers and stimulate T cells within resistant tumors. See related article by Moynihan et al., p. 1206 (32).
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Affiliation(s)
- Paulien Kaptein
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Nadine Slingerland
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Christina Metoikidou
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Felix Prinz
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
| | - Simone Brokamp
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Mercedes Machuca-Ostos
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
- Division of Tumor Biology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Guido de Roo
- Flow Cytometry Facility, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Ton N.M. Schumacher
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
- Department of Hematology, Leiden University Medical Center, Leiden, the Netherlands.
| | - Yik A. Yeung
- Asher Biotherapeutics, Inc., South San Francisco, California.
| | | | | | - Daniela S. Thommen
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
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3
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Wang Z, Zhao Y, Wo Y, Peng Y, Hu W, Wu Z, Liu P, Shang Y, Liu C, Chen X, Huang K, Chen Y, Hong H, Li F, Sun Y. The single cell immunogenomic landscape after neoadjuvant immunotherapy combined chemotherapy in esophageal squamous cell carcinoma. Cancer Lett 2024; 593:216951. [PMID: 38734159 DOI: 10.1016/j.canlet.2024.216951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 04/19/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
Neoadjuvant immunotherapy represents promising strategy in the treatment of esophageal squamous cell carcinoma (ESCC). However, the mechanisms underlying its impact on treatment sensitivity or resistance remain a subject of controversy. In this study, we conducted single-cell RNA and T/B cell receptor (scTCR/scBCR) sequencing of CD45+ immune cells on samples from 10 patients who received neoadjuvant immunotherapy and chemotherapy. We also validated our findings using multiplexed immunofluorescence and analyzed bulk RNA-seq from other cohorts in public database. By integrating analysis of 87357 CD45+ cells, we found GZMK + effector memory T cells (Tem) were relatively enriched and CXCL13+ exhausted T cells (Tex) and regulator T cells (Treg) decreased among responders, indicating a persistent anti-tumor memory process. Additionally, the enhanced presence of BCR expansion and somatic hypermutation process within TNFRSF13B + memory B cells (Bmem) suggested their roles in antigen presentation. This was further corroborated by the evidence of the T-B co-stimulation pattern and CXCL13-CXCR5 axis. The complexity of myeloid cell heterogeneity was also particularly pronounced. The elevated expression of S100A7 in ESCC, as detected by bulk RNA-seq, was associated with an exhausted and immunosuppressive tumor microenvironment. In summary, this study has unveiled a potential regulatory network among immune cells and the clonal dynamics of their functions, and the mechanisms of exhaustion and memory conversion between GZMK + Tem and TNFRSF13B + Bmem from antigen presentation and co-stimulation perspectives during neoadjuvant PD-1 blockade treatment in ESCC.
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MESH Headings
- Humans
- Neoadjuvant Therapy/methods
- Esophageal Squamous Cell Carcinoma/immunology
- Esophageal Squamous Cell Carcinoma/genetics
- Esophageal Squamous Cell Carcinoma/therapy
- Esophageal Squamous Cell Carcinoma/drug therapy
- Esophageal Squamous Cell Carcinoma/pathology
- Esophageal Neoplasms/immunology
- Esophageal Neoplasms/genetics
- Esophageal Neoplasms/therapy
- Esophageal Neoplasms/drug therapy
- Esophageal Neoplasms/pathology
- Immunotherapy/methods
- Single-Cell Analysis/methods
- Female
- Male
- Tumor Microenvironment/immunology
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Antineoplastic Combined Chemotherapy Protocols/pharmacology
- Chemokine CXCL13/genetics
- Chemokine CXCL13/metabolism
- Middle Aged
- Aged
- Memory T Cells/immunology
- Memory T Cells/metabolism
- Leukocyte Common Antigens/metabolism
- Leukocyte Common Antigens/genetics
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/drug effects
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/metabolism
- Receptors, Antigen, B-Cell/immunology
- Receptors, CXCR5/metabolism
- Receptors, CXCR5/genetics
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Affiliation(s)
- Zheyi Wang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yue Zhao
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yang Wo
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yizhou Peng
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weilei Hu
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China; State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Zhigang Wu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Pengcheng Liu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Shang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chunnan Liu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Kan Huang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuting Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hui Hong
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fei Li
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
| | - Yihua Sun
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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4
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Zhang C, Sun YX, Yi DC, Jiang BY, Yan LX, Liu ZD, Peng LS, Zhang WJ, Sun H, Chen ZY, Wang DH, Peng D, Chen SA, Li SQ, Zhang Z, Tan XY, Yang J, Zhao ZY, Zhang WT, Su J, Li YS, Liao RQ, Dong S, Xu CR, Zhou Q, Yang XN, Wu YL, Zhang ZM, Zhong WZ. Neoadjuvant sintilimab plus chemotherapy in EGFR-mutant NSCLC: Phase 2 trial interim results (NEOTIDE/CTONG2104). Cell Rep Med 2024:101615. [PMID: 38897205 DOI: 10.1016/j.xcrm.2024.101615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/31/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024]
Abstract
The clinical efficacy of neoadjuvant immunotherapy plus chemotherapy remains elusive in localized epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). Here, we report interim results of a Simon's two-stage design, phase 2 trial using neoadjuvant sintilimab with carboplatin and nab-paclitaxel in resectable EGFR-mutant NSCLC. All 18 patients undergo radical surgery, with one patient experiencing surgery delay. Fourteen patients exhibit confirmed radiological response, with 44% achieving major pathological response (MPR) and no pathological complete response (pCR). Similar genomic alterations are observed before and after treatment without influencing the efficacy of subsequent EGFR-tyrosine kinase inhibitors (TKIs) in vitro. Infiltration and T cell receptor (TCR) clonal expansion of CCR8+ regulatory T (Treg)hi/CXCL13+ exhausted T (Tex)lo cells define a subtype of EGFR-mutant NSCLC highly resistant to immunotherapy, with the phenotype potentially serving as a promising signature to predict immunotherapy efficacy. Informed circulating tumor DNA (ctDNA) detection in EGFR-mutant NSCLC could help identify patients nonresponsive to neoadjuvant immunochemotherapy. These findings provide supportive data for the utilization of neoadjuvant immunochemotherapy and insight into immune resistance in EGFR-mutant NSCLC.
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Affiliation(s)
- Chao Zhang
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; School of Medicine, South China University of Technology, Guangzhou, China
| | - Yu-Xuan Sun
- School of Life Sciences, Peking University, Beijing, China
| | - Ding-Cheng Yi
- School of Life Sciences, Peking University, Beijing, China
| | - Ben-Yuan Jiang
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Li-Xu Yan
- Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ze-Dao Liu
- School of Life Sciences, Peking University, Beijing, China
| | - Li-Shan Peng
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wen-Jie Zhang
- School of Life Sciences, Peking University, Beijing, China
| | - Hao Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zhi-Yong Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Department of Radiation Therapy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | | | - Di Peng
- Burning Rock Biotech, Guangzhou, China
| | | | - Si-Qi Li
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ze Zhang
- Institute of Biomedical Research, Yunnan University, Kunming, China
| | - Xiao-Yue Tan
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jie Yang
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zhang-Yi Zhao
- School of Life Sciences, Peking University, Beijing, China
| | - Wan-Ting Zhang
- School of Life Sciences, Peking University, Beijing, China
| | - Jian Su
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ri-Qiang Liao
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Song Dong
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue-Ning Yang
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ze-Min Zhang
- School of Life Sciences, Peking University, Beijing, China; BIOPIC, Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, China
| | - Wen-Zhao Zhong
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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5
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Liang Y, Bu Q, You W, Zhang R, Xu Z, Gan X, Zhou J, Qiao L, Huang T, Lu L. Single-cell analysis reveals hypoxia-induced immunosuppressive microenvironment in intrahepatic cholangiocarcinoma. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167276. [PMID: 38844114 DOI: 10.1016/j.bbadis.2024.167276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 05/25/2024] [Accepted: 05/27/2024] [Indexed: 06/11/2024]
Abstract
The role of hypoxia in the tumor microenvironment of intrahepatic cholangiocarcinoma (iCCA) remains unclear. Here, we generated a comprehensive atlas of the entire tumor microenvironment and delineated the multifaceted cell-cell interactions to decipher hypoxia-induced pro-tumor immune suppression. We discovered hypoxia is significantly associated with iCCA progression via the activation of HIF1A expression. Moreover, hypoxia-dependent PPARγ-mediated fatty acid oxidation in APOE+ TAMs promoted M2 macrophage polarization by activating the HIF1A-PPARG-CD36 axis. These polarized APOE+ TAMs recruited Treg cell infiltration via the CCL3-CCR5 pair to form an immunosuppressive microenvironment. APOE+ TAMs tended to co-localize spatially with Treg cells in the malignant tissue based on spatial transcriptome data and immunofluorescence analysis results. We identified tumor-reactive CXCL13+ CD8-PreTex with specific high expression of ENTPD1 and ITGAE, which acted as precursors of CD8-Tex and had higher cytotoxicity, lower exhaustion, and more vigorous proliferation. Consequently, CXCL13+ CD8-PreTex functioned as a positive regulator of antitumor immunity by expressing the pro-inflammatory cytokines IFNG and TNF, associated with a better survival outcome. Our study reveals the mechanisms involved in hypoxia-induced immunosuppression and suggests that targeting precursor-exhausted CXCL13+CD8+ T cells might provide a pratical immunotherapeutic approach.
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Affiliation(s)
- Yuan Liang
- School of Biological Science & Medical Engineering, Southeast University, Nanjing, China; Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Liver Transplantation, NHC Key Laboratory of Liver Transplantation, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Qingfa Bu
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Liver Transplantation, NHC Key Laboratory of Liver Transplantation, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Wenhua You
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Rui Zhang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Liver Transplantation, NHC Key Laboratory of Liver Transplantation, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Zibo Xu
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Liver Transplantation, NHC Key Laboratory of Liver Transplantation, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Xiaojie Gan
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Jinren Zhou
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Liver Transplantation, NHC Key Laboratory of Liver Transplantation, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Lei Qiao
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Liver Transplantation, NHC Key Laboratory of Liver Transplantation, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Tianning Huang
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Liver Transplantation, NHC Key Laboratory of Liver Transplantation, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Ling Lu
- School of Biological Science & Medical Engineering, Southeast University, Nanjing, China; Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Liver Transplantation, NHC Key Laboratory of Liver Transplantation, Research Unit of Liver Transplantation and Transplant Immunology, Chinese Academy of Medical Sciences, Nanjing, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
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6
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Zhang Y, Qian L, Chen K, Gu S, Meng Z, Wang J, Li Y, Wang P. Oncolytic adenovirus in treating malignant ascites: A phase II trial and longitudinal single-cell study. Mol Ther 2024; 32:2000-2020. [PMID: 38659226 PMCID: PMC11184408 DOI: 10.1016/j.ymthe.2024.04.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 03/24/2024] [Accepted: 04/21/2024] [Indexed: 04/26/2024] Open
Abstract
Malignant ascites is a common complication resulting from the peritoneal spread of malignancies, and currently lacks effective treatments. We conducted a phase II trial (NCT04771676) to investigate the efficacy and safety of oncolytic adenovirus H101 and virotherapy-induced immune response in 25 patients with malignant ascites. Oncolytic virotherapy achieved an increased median time to repeat paracentesis of 45 days (95% confidence interval 16.5-73.5 days), compared with the preset control value of 13 days. Therapy was well-tolerated, with pyrexia, fatigue, nausea, and abdominal pain as the most common toxicities. Longitudinal single-cell profiling identified marked oncolysis, early virus replication, and enhanced CD8+ T cells-macrophages immune checkpoint crosstalk, especially in responsive patients. H101 also triggered a proliferative burst of CXCR6+ and GZMK+CD8+ T cells with promoted tumor-specific cytotoxicity. Further establishment of oncolytic virus-induced T cell expansion signature (OiTE) implicated the potential benefits for H101-responsive patients from subsequent anti-PD(L)1 therapy. Patients with upregulated immune-signaling pathways in tumor cells and a higher proportion of CLEC10A+ dendritic cells and GZMK+CD8+ T cells at baseline showed a superior response to H101 treatment. Our study demonstrates promising clinical responses and tolerability of oncolytic adenovirus in treating malignant ascites and provides insights into the relevant cellular processes following oncolytic virotherapy.
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Affiliation(s)
- Yalei Zhang
- Department of Hepatic Oncology, Zhongshan Hospital, Fudan University; Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ling Qian
- Department of Hepatic Oncology, Zhongshan Hospital, Fudan University; Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Kun Chen
- Department of Hepatic Oncology, Zhongshan Hospital, Fudan University; Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Sijia Gu
- Department of Hepatic Oncology, Zhongshan Hospital, Fudan University; Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhiqiang Meng
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Jia Wang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai 300032, China.
| | - Ye Li
- Department of Hepatic Oncology, Zhongshan Hospital, Fudan University; Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Peng Wang
- Department of Hepatic Oncology, Zhongshan Hospital, Fudan University; Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
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Chen J, Hu X, Zhao J, Yin X, Zheng L, Guo J, Chen J, Wang Y, Sheng X, Dong H, Liu X, Zhang X, Liang J, Liu H, Yao J, Liu J, Shen Y, Chen Z, He Z, Wang Y, Chen N, Nie L, Zhang M, Pan X, Chen Y, Liu H, Zhang Y, Tang Y, Zhu S, Zhao J, Dai J, Wang Z, Zeng Y, Wang Z, Huang H, Liu Z, Shen P, Zeng H, Sun G. Memory/Active T-Cell Activation Is Associated with Immunotherapeutic Response in Fumarate Hydratase-Deficient Renal Cell Carcinoma. Clin Cancer Res 2024; 30:2571-2581. [PMID: 38512114 PMCID: PMC11145163 DOI: 10.1158/1078-0432.ccr-23-2760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 11/22/2023] [Accepted: 03/19/2024] [Indexed: 03/22/2024]
Abstract
PURPOSE Fumarate hydratase-deficient renal cell carcinoma (FH-deficient RCC) is a rare and lethal subtype of kidney cancer. However, the optimal treatments and molecular correlates of benefits for FH-deficient RCC are currently lacking. EXPERIMENTAL DESIGN A total of 91 patients with FH-deficient RCC from 15 medical centers between 2009 and 2022 were enrolled in this study. Genomic and bulk RNA-sequencing (RNA-seq) were performed on 88 and 45 untreated FH-deficient RCCs, respectively. Single-cell RNA-seq was performed to identify biomarkers for treatment response. Main outcomes included disease-free survival (DFS) for localized patients, objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) for patients with metastasis. RESULTS In the localized setting, we found that a cell-cycle progression signature enabled to predict disease progression. In the metastatic setting, first-line immune checkpoint inhibitor plus tyrosine kinase inhibitor (ICI+TKI) combination therapy showed satisfactory safety and was associated with a higher ORR (43.2% vs. 5.6%), apparently superior PFS (median PFS, 17.3 vs. 9.6 months, P = 0.016) and OS (median OS, not reached vs. 25.7 months, P = 0.005) over TKI monotherapy. Bulk and single-cell RNA-seq data revealed an enrichment of memory and effect T cells in responders to ICI plus TKI combination therapy. Furthermore, we identified a signature of memory and effect T cells that was associated with the effectiveness of ICI plus TKI combination therapy. CONCLUSIONS ICI plus TKI combination therapy may represent a promising treatment option for metastatic FH-deficient RCC. A memory/active T-cell-derived signature is associated with the efficacy of ICI+TKI but necessitates further validation.
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Affiliation(s)
- Junru Chen
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Xu Hu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Junjie Zhao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoxue Yin
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Linmao Zheng
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Jingjing Guo
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jianhui Chen
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yongquan Wang
- Department of Urology, Southwest Hospital, Army Medical University, Chongqing, China
| | - Xinan Sheng
- Department of Genitourinary Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Haiying Dong
- Department of Urology, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, China
| | - Xiaodong Liu
- Department of Urology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xingming Zhang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Jiayu Liang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Haolin Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Jin Yao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jiyan Liu
- Department of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yali Shen
- Department of Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Zhibin Chen
- Department of Urology, The First People's Hospital of Neijiang, Neijiang, China
| | - Zhengyu He
- Department of Urology, Yaan People's Hospital, Yaan, China
| | - Yaodong Wang
- Department of Urology, Mianyang Central Hospital, Mianyang, China
| | - Ni Chen
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Ling Nie
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Mengni Zhang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiuyi Pan
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuntian Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Haoyang Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Yaowen Zhang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Yanfeng Tang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Sha Zhu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Jinge Zhao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Jindong Dai
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Zilin Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuhao Zeng
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Zhipeng Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Haojie Huang
- Institute of Urological Cancer Research, Zhejiang University School of Medicine, The First Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Zhenhua Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Pengfei Shen
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Hao Zeng
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
| | - Guangxi Sun
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China
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Lin WP, Li H, Sun ZJ. T cell exhaustion initiates tertiary lymphoid structures and turbocharges cancer-immunity cycle. EBioMedicine 2024; 104:105154. [PMID: 38749300 PMCID: PMC11108856 DOI: 10.1016/j.ebiom.2024.105154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 05/25/2024] Open
Abstract
Immune therapies represented by immune checkpoint blockade (ICB) have significantly transformed cancer treatment. However, the effectiveness of these treatments depends on the status of T cells. T cell exhaustion, characterized by diminished effector function, increased expression of co-inhibitory receptors, and clonal deletion, emerges as a hypofunctional state resulting from chronic exposure to antigens, posing an obstacle to ICB therapy. Several studies have deeply explored T cell exhaustion, providing innovative insights and correlating T cell exhaustion with tertiary lymphoid structures (TLS) formation. TLS, lymphocyte aggregates formed in non-lymphoid tissues amid chronic inflammation, serve as pivotal reservoirs for anti-tumour immunity. Here, we underscore the pivotal role of T cell exhaustion as a signalling mechanism in reinvigorating anti-tumour immunity by turbocharging cancer-immunity (CI) cycle, particularly when tumour becomes unmanageable. Building upon this concept, we summarize emerging immunotherapeutic strategies aimed at enhancing the response rate to ICB therapy and improving patient prognosis.
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Affiliation(s)
- Wen-Ping Lin
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan 430079, PR China
| | - Hao Li
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan 430079, PR China; Department of Oral Maxillofacial-Head Neck Oncology, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, PR China.
| | - Zhi-Jun Sun
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan 430079, PR China; Department of Oral Maxillofacial-Head Neck Oncology, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, PR China.
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9
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Ryan AT, Kim M, Lim K. Immune Cell Migration to Cancer. Cells 2024; 13:844. [PMID: 38786066 PMCID: PMC11120175 DOI: 10.3390/cells13100844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 04/27/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024] Open
Abstract
Immune cell migration is required for the development of an effective and robust immune response. This elegant process is regulated by both cellular and environmental factors, with variables such as immune cell state, anatomical location, and disease state that govern differences in migration patterns. In all cases, a major factor is the expression of cell surface receptors and their cognate ligands. Rapid adaptation to environmental conditions partly depends on intrinsic cellular immune factors that affect a cell's ability to adjust to new environment. In this review, we discuss both myeloid and lymphoid cells and outline key determinants that govern immune cell migration, including molecules required for immune cell adhesion, modes of migration, chemotaxis, and specific chemokine signaling. Furthermore, we summarize tumor-specific elements that contribute to immune cell trafficking to cancer, while also exploring microenvironment factors that can alter these cellular dynamics within the tumor in both a pro and antitumor fashion. Specifically, we highlight the importance of the secretome in these later aspects. This review considers a myriad of factors that impact immune cell trajectory in cancer. We aim to highlight the immunotherapeutic targets that can be harnessed to achieve controlled immune trafficking to and within tumors.
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Affiliation(s)
- Allison T. Ryan
- Department of Microbiology and Immunology, University of Rochester, Rochester, NY 14642, USA; (A.T.R.); (M.K.)
- David H. Smith Center for Vaccine Biology and Immunology, University of Rochester, Rochester, NY 14642, USA
| | - Minsoo Kim
- Department of Microbiology and Immunology, University of Rochester, Rochester, NY 14642, USA; (A.T.R.); (M.K.)
- David H. Smith Center for Vaccine Biology and Immunology, University of Rochester, Rochester, NY 14642, USA
| | - Kihong Lim
- Department of Microbiology and Immunology, University of Rochester, Rochester, NY 14642, USA; (A.T.R.); (M.K.)
- David H. Smith Center for Vaccine Biology and Immunology, University of Rochester, Rochester, NY 14642, USA
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10
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An M, Mehta A, Min BH, Heo YJ, Wright SJ, Parikh M, Bi L, Lee H, Kim TJ, Lee SY, Moon J, Park RJ, Strickland MR, Park WY, Kang WK, Kim KM, Kim ST, Klempner SJ, Lee J. Early Immune Remodeling Steers Clinical Response to First-Line Chemoimmunotherapy in Advanced Gastric Cancer. Cancer Discov 2024; 14:766-785. [PMID: 38319303 PMCID: PMC11061611 DOI: 10.1158/2159-8290.cd-23-0857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/28/2023] [Accepted: 02/02/2024] [Indexed: 02/07/2024]
Abstract
Adding anti-programmed cell death protein 1 (anti-PD-1) to 5-fluorouracil (5-FU)/platinum improves survival in some advanced gastroesophageal adenocarcinomas (GEA). To understand the effects of chemotherapy and immunotherapy, we conducted a phase II first-line trial (n = 47) sequentially adding pembrolizumab to 5-FU/platinum in advanced GEA. Using serial biopsy of the primary tumor at baseline, after one cycle of 5-FU/platinum, and after the addition of pembrolizumab, we transcriptionally profiled 358,067 single cells to identify evolving multicellular tumor microenvironment (TME) networks. Chemotherapy induced early on-treatment multicellular hubs with tumor-reactive T-cell and M1-like macrophage interactions in slow progressors. Faster progression featured increased MUC5A and MSLN containing treatment resistance programs in tumor cells and M2-like macrophages with immunosuppressive stromal interactions. After pembrolizumab, we observed increased CD8 T-cell infiltration and development of an immunity hub involving tumor-reactive CXCL13 T-cell program and epithelial interferon-stimulated gene programs. Strategies to drive increases in antitumor immune hub formation could expand the portion of patients benefiting from anti-PD-1 approaches. SIGNIFICANCE The benefit of 5-FU/platinum with anti-PD-1 in first-line advanced gastric cancer is limited to patient subgroups. Using a trial with sequential anti-PD-1, we show coordinated induction of multicellular TME hubs informs the ability of anti-PD-1 to potentiate T cell-driven responses. Differential TME hub development highlights features that underlie clinical outcomes. This article is featured in Selected Articles from This Issue, p. 695.
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Affiliation(s)
- Minae An
- Experimental Therapeutics Development Center, Samsung Medical Center, Seoul, Korea
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Arnav Mehta
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Byung Hoon Min
- Department of Medicine, Division of Gastroenterology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | | | - Samuel J. Wright
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Milan Parikh
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Lynn Bi
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Hyuk Lee
- Department of Medicine, Division of Gastroenterology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Tae Jun Kim
- Department of Medicine, Division of Gastroenterology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Song-Yi Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeonghyeon Moon
- Departments of Neurology and Immunology, Yale School of Medicine, New Haven, Connecticut
| | - Ryan J. Park
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Division of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Matthew R. Strickland
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | | | - Won Ki Kang
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung Tae Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Samuel J. Klempner
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Jeeyun Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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11
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Luan F, Wang J, Liu L, Liu B, Li F, Zhao J, Lai J, Jiang F, Xu W, Zhang Z, Ran P, Shu Y, Yang Z, Fu G. Serum iron element: A novel biomarker for predicting PD-1 immunotherapy efficacy. Int Immunopharmacol 2024; 131:111823. [PMID: 38508094 DOI: 10.1016/j.intimp.2024.111823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/26/2024] [Accepted: 03/05/2024] [Indexed: 03/22/2024]
Abstract
This study aims to explore the relationship between serum iron by inductively coupled plasma-mass spectrometry (ICP-MS) and the efficacy of immune checkpoint inhibitors (ICIs) and potential mechanism. Totally 113 patients from 233 patients with advanced metastatic lung cancer, esophageal cancer, gastric cancer and colorectal cancer who treated with immunotherapy in Shandong Provincial Hospital were divided into training group (n=68) and validation group (n=45), whose patients were divided into clinical benefit response (CBR) and non-clinical benefit (NCB) by RECIST (v1.1) respectively. We found for the first time that high serum iron level (>1036 μg/L) was a novel biomarker of better PFS (10.13 months vs 7.37 months; p = 0.0015) and OS(16.00 months vs 11.00 months; p = 0.0235) by ROC curve (sensitivity: 78.13 %; Specificity: 80.56 %; p < 0.0001) of CBR (n=32) and NCB (n=36) patients in training group. Interestingly, consistently stable and high serum iron level predicted better efficacy during immunotherapy. Noteworthy, the predictive efficacy of PD-L1 expression was significantly inferior than serum iron (accuracy:63.49% vs 79.41%, p=0.0432), while serum iron detected by spectrophotometry did not predict the efficacy of immunotherapy (p=0.0671) indicating higher sensitivity of ICP-MS. Bioinformatics analysis showed that serum iron could enhance innate immunity and cytokine release and was verified by proteomics that KEGG and GO analysis enriched innate immune and cytokine signaling pathways. Flow cytometry showed that IL-17 (p=0.0002) increased and IL-6 (p=0.0112) decreased after immunotherapy. Based on this, Nomogram with better prediction was constructed by multiple clinical and independent factors. Our results revealed that serum iron is positively associated with ICIs efficacy by enhancing innate immunity and cytokine release in advanced metastatic cancers, and can be a biomarker for predicting ICIs response.
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Affiliation(s)
- Fang Luan
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Jingliang Wang
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Lei Liu
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China; Department of Oncology, Jinan People's Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250102, China
| | - Bin Liu
- Department of Biomedical Engineering, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Fuxia Li
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Jing Zhao
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Jingjiang Lai
- Innovative Institute of Chinese Medicine, Shandong University of Traditional Chinese 24 Medicine, Jinan 250002, China
| | - Fengxian Jiang
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Wei Xu
- Department of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250012, China
| | - Zhizhao Zhang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Pancen Ran
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Yang Shu
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Zhe Yang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Guobin Fu
- The Second Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250002, China; Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China; The Third Affiliated Hospital of Shandong First Medical University, Jinan 250031, China.
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12
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Flippot R, Teixeira M, Rey-Cardenas M, Carril-Ajuria L, Rainho L, Naoun N, Jouniaux JM, Boselli L, Naigeon M, Danlos FX, Escudier B, Scoazec JY, Cassard L, Albiges L, Chaput N. B cells and the coordination of immune checkpoint inhibitor response in patients with solid tumors. J Immunother Cancer 2024; 12:e008636. [PMID: 38631710 PMCID: PMC11029261 DOI: 10.1136/jitc-2023-008636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2024] [Indexed: 04/19/2024] Open
Abstract
Immunotherapy profoundly changed the landscape of cancer therapy by providing long-lasting responses in subsets of patients and is now the standard of care in several solid tumor types. However, immunotherapy activity beyond conventional immune checkpoint inhibition is plateauing, and biomarkers are overall lacking to guide treatment selection. Most studies have focused on T cell engagement and response, but there is a growing evidence that B cells may be key players in the establishment of an organized immune response, notably through tertiary lymphoid structures. Mechanisms of B cell response include antibody-dependent cellular cytotoxicity and phagocytosis, promotion of CD4+ and CD8+ T cell activation, maintenance of antitumor immune memory. In several solid tumor types, higher levels of B cells, specific B cell subpopulations, or the presence of tertiary lymphoid structures have been associated with improved outcomes on immune checkpoint inhibitors. The fate of B cell subpopulations may be widely influenced by the cytokine milieu, with versatile roles for B-specific cytokines B cell activating factor and B cell attracting chemokine-1/CXCL13, and a master regulatory role for IL-10. Roles of B cell-specific immune checkpoints such as TIM-1 are emerging and could represent potential therapeutic targets. Overall, the expanding field of B cells in solid tumors of holds promise for the improvement of current immunotherapy strategies and patient selection.
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Affiliation(s)
- Ronan Flippot
- Department of Medical Oncology, Gustave Roussy, Université Paris Saclay, Villejuif, France
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
| | - Marcus Teixeira
- Department of Medical Oncology, Gustave Roussy, Université Paris Saclay, Villejuif, France
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
| | - Macarena Rey-Cardenas
- Department of Medical Oncology, Gustave Roussy, Université Paris Saclay, Villejuif, France
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
| | - Lucia Carril-Ajuria
- Department of Medical Oncology, Gustave Roussy, Université Paris Saclay, Villejuif, France
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
- Medical Oncology, CHU Brugmann, Brussels, Belgium
| | - Larissa Rainho
- Department of Medical Oncology, Gustave Roussy, Université Paris Saclay, Villejuif, France
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
| | - Natacha Naoun
- Department of Medical Oncology, Gustave Roussy, Université Paris Saclay, Villejuif, France
| | - Jean-Mehdi Jouniaux
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
| | - Lisa Boselli
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
| | - Marie Naigeon
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
| | - Francois-Xavier Danlos
- LRTI, INSERM U1015, Gustave Roussy, Villejuif, France
- Drug Development Department, Gustave Roussy, Villejuif, France
| | - Bernard Escudier
- Department of Medical Oncology, Gustave Roussy, Université Paris Saclay, Villejuif, France
| | | | - Lydie Cassard
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
| | - Laurence Albiges
- Department of Medical Oncology, Gustave Roussy, Université Paris Saclay, Villejuif, France
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
| | - Nathalie Chaput
- Immunomonitoring Laboratory, CNRS3655 & INSERM US23, Université Paris-Saclay, Villejuif, France
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13
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Pan H, Yu M, Tang X, Mao X, Liu M, Zhang K, Qian C, Wang J, Xie H, Qiu W, Ding Q, Wang S, Zhou W. Preoperative single-dose camrelizumab and/or microwave ablation in women with early-stage breast cancer: A window-of-opportunity trial. MED 2024; 5:291-310.e5. [PMID: 38417440 DOI: 10.1016/j.medj.2024.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/17/2024] [Accepted: 01/23/2024] [Indexed: 03/01/2024]
Abstract
BACKGROUND Immune checkpoint blockade has shown low response rates for advanced breast cancer, and combination strategies are needed. Microwave ablation (MWA) may be a trigger of antitumor immunity. This window-of-opportunity trial (ClinicalTrials.gov: NCT04805736) was conducted to determine the safety and feasibility of preoperative camrelizumab (an anti-PD-1 antibody) combined with MWA in the treatment of early-stage breast cancer. METHODS Sixty participants were randomized to preoperatively receive single-dose camrelizumab alone (n = 20), MWA alone (n = 20), or camrelizumab+MWA (n = 20). A random number table was used to allocate interventions. The primary outcome was the safety and feasibility of MWA combined with camrelizumab. FINDINGS Camrelizumab and MWA were well tolerated alone and in combination without delays in prescheduled surgery. No treatment-related grade III/IV adverse events were observed. Different from in the single-dose camrelizumab or MWA group, participants showed stable counts of blood cells after combination therapy. After combination therapy, peripheral CD8+ T cells showed enhanced cytotoxic and effect-memory functions. Clonal expansional CD8+ T cells showed higher cytotoxic activity and effector memory- and tumor-specific signatures than emergent clones after combination therapy. Enhanced interactions between clonal expansional CD8+ T cells and monocytes were observed, suggesting that monocytes contributed to the enhanced functions of clonal expansional CD8+ T cells. Major histocompatibility complex (MHC) class I-related pathways and interferon signaling pathways were activated in monocytes by combination therapy. CONCLUSIONS Camrelizumab combined with MWA was feasible for early-stage breast cancer. Peripheral CD8+ T cells were activated after combination therapy, dependent on monocytes with activated MHC class I pathways. FUNDING This study was supported by the Natural Science Foundation of Jiangsu Province (BK20230017).
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Affiliation(s)
- Hong Pan
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Muxin Yu
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xinyu Tang
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xinrui Mao
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Mingduo Liu
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Kai Zhang
- Pancreas Center & Department of General Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing 210029, China; Pancreas Institute of Nanjing Medical University, Nanjing 210029, China
| | - Chao Qian
- Department of General Surgery, Sir Run Run Hospital, Nanjing Medical University, Nanjing 211112, China
| | - Ji Wang
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Hui Xie
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Wen Qiu
- Department of Immunology, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Antibody Technology of the Ministry of Health, Nanjing Medical University, Nanjing 211166, China
| | - Qiang Ding
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Shui Wang
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| | - Wenbin Zhou
- Department of Breast Surgery & General Surgery, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention, and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
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14
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Lei X, de Groot DC, Welters MJP, de Wit T, Schrama E, van Eenennaam H, Santegoets SJ, Oosenbrug T, van der Veen A, Vos JL, Zuur CL, de Miranda NFCC, Jacobs H, van der Burg SH, Borst J, Xiao Y. CD4 + T cells produce IFN-I to license cDC1s for induction of cytotoxic T-cell activity in human tumors. Cell Mol Immunol 2024; 21:374-392. [PMID: 38383773 PMCID: PMC10978876 DOI: 10.1038/s41423-024-01133-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/05/2024] [Indexed: 02/23/2024] Open
Abstract
CD4+ T cells can "help" or "license" conventional type 1 dendritic cells (cDC1s) to induce CD8+ cytotoxic T lymphocyte (CTL) anticancer responses, as proven in mouse models. We recently identified cDC1s with a transcriptomic imprint of CD4+ T-cell help, specifically in T-cell-infiltrated human cancers, and these cells were associated with a good prognosis and response to PD-1-targeting immunotherapy. Here, we delineate the mechanism of cDC1 licensing by CD4+ T cells in humans. Activated CD4+ T cells produce IFNβ via the STING pathway, which promotes MHC-I antigen (cross-)presentation by cDC1s and thereby improves their ability to induce CTL anticancer responses. In cooperation with CD40 ligand (L), IFNβ also optimizes the costimulatory and other functions of cDC1s required for CTL response induction. IFN-I-producing CD4+ T cells are present in diverse T-cell-infiltrated cancers and likely deliver "help" signals to CTLs locally, according to their transcriptomic profile and colocalization with "helped/licensed" cDCs and tumor-reactive CD8+ T cells. In agreement with this scenario, the presence of IFN-I-producing CD4+ T cells in the TME is associated with overall survival and the response to PD-1 checkpoint blockade in cancer patients.
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Affiliation(s)
- Xin Lei
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
- Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | - Daniël C de Groot
- Department of Tumor Biology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marij J P Welters
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | - Tom de Wit
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
- Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | - Ellen Schrama
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
- Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Saskia J Santegoets
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | - Timo Oosenbrug
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Joris L Vos
- Division of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Charlotte L Zuur
- Division of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Otorhinolaryngology Leiden University Medical Center, Leiden, The Netherlands
| | | | - Heinz Jacobs
- Department of Tumor Biology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Sjoerd H van der Burg
- Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
- Department of Medical Oncology, Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands
| | - Jannie Borst
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands.
- Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands.
| | - Yanling Xiao
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands.
- Oncode Institute, Leiden University Medical Center, Leiden, The Netherlands.
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15
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Chen JH, Nieman LT, Spurrell M, Jorgji V, Elmelech L, Richieri P, Xu KH, Madhu R, Parikh M, Zamora I, Mehta A, Nabel CS, Freeman SS, Pirl JD, Lu C, Meador CB, Barth JL, Sakhi M, Tang AL, Sarkizova S, Price C, Fernandez NF, Emanuel G, He J, Van Raay K, Reeves JW, Yizhak K, Hofree M, Shih A, Sade-Feldman M, Boland GM, Pelka K, Aryee MJ, Mino-Kenudson M, Gainor JF, Korsunsky I, Hacohen N. Human lung cancer harbors spatially organized stem-immunity hubs associated with response to immunotherapy. Nat Immunol 2024; 25:644-658. [PMID: 38503922 DOI: 10.1038/s41590-024-01792-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 02/15/2024] [Indexed: 03/21/2024]
Abstract
The organization of immune cells in human tumors is not well understood. Immunogenic tumors harbor spatially localized multicellular 'immunity hubs' defined by expression of the T cell-attracting chemokines CXCL10/CXCL11 and abundant T cells. Here, we examined immunity hubs in human pre-immunotherapy lung cancer specimens and found an association with beneficial response to PD-1 blockade. Critically, we discovered the stem-immunity hub, a subtype of immunity hub strongly associated with favorable PD-1-blockade outcome. This hub is distinct from mature tertiary lymphoid structures and is enriched for stem-like TCF7+PD-1+CD8+ T cells, activated CCR7+LAMP3+ dendritic cells and CCL19+ fibroblasts as well as chemokines that organize these cells. Within the stem-immunity hub, we find preferential interactions between CXCL10+ macrophages and TCF7-CD8+ T cells as well as between mature regulatory dendritic cells and TCF7+CD4+ and regulatory T cells. These results provide a picture of the spatial organization of the human intratumoral immune response and its relevance to patient immunotherapy outcomes.
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Affiliation(s)
- Jonathan H Chen
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA.
- Department of Pathology, MGH, Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Linda T Nieman
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Maxwell Spurrell
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Department of Pathology, MGH, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Vjola Jorgji
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Department of Pathology, MGH, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Liad Elmelech
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Department of Pathology, MGH, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Peter Richieri
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
| | - Katherine H Xu
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
| | - Roopa Madhu
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Division of Genetics, Boston, MA, USA
| | - Milan Parikh
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Izabella Zamora
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Arnav Mehta
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Christopher S Nabel
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Koch Institute for Integrative Cancer Research, Department of Biology, MIT, Cambridge, MA, USA
| | - Samuel S Freeman
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Joshua D Pirl
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Chenyue Lu
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
| | - Catherine B Meador
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Division of Hematology/Oncology, MGH, HMS, Boston, MA, USA
| | | | | | - Alexander L Tang
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | - Siranush Sarkizova
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
| | | | | | | | | | | | | | - Keren Yizhak
- Department of Cell Biology and Cancer Science, Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Matan Hofree
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
- Lautenberg Center for Immunology and Cancer Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Angela Shih
- Department of Pathology, MGH, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Moshe Sade-Feldman
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Genevieve M Boland
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Surgery, MGH, Boston, MA, USA
| | - Karin Pelka
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Gladstone-UCSF Institute of Genomic Immunology, Gladstone Institutes, San Francisco, CA, USA
| | - Martin J Aryee
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mari Mino-Kenudson
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA
- Department of Pathology, MGH, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Justin F Gainor
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Center for Thoracic Cancers, MGH, Boston, MA, USA.
| | - Ilya Korsunsky
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Brigham and Women's Hospital, Division of Genetics, Boston, MA, USA.
| | - Nir Hacohen
- Massachusetts General Hospital (MGH) Cancer Center, Harvard Medical School (HMS), Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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16
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Suijkerbuijk KPM, van Eijs MJM, van Wijk F, Eggermont AMM. Clinical and translational attributes of immune-related adverse events. NATURE CANCER 2024; 5:557-571. [PMID: 38360861 DOI: 10.1038/s43018-024-00730-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 01/12/2024] [Indexed: 02/17/2024]
Abstract
With immune checkpoint inhibitors (ICIs) becoming the mainstay of treatment for many cancers, managing their immune-related adverse events (irAEs) has become an important part of oncological care. This Review covers the clinical presentation of irAEs and crucial aspects of reversibility, fatality and long-term sequelae, with special attention to irAEs in specific patient populations, such as those with autoimmune diseases. In addition, the genetic basis of irAEs, along with cellular and humoral responses to ICI therapy, are discussed. Detrimental effects of empirically used high-dose steroids and second-line immunosuppression, including impaired ICI effectiveness, call for more tailored irAE-treatment strategies. We discuss open therapeutic challenges and propose potential avenues to accelerate personalized management strategies and optimize outcomes.
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Affiliation(s)
- Karijn P M Suijkerbuijk
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Mick J M van Eijs
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Femke van Wijk
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Alexander M M Eggermont
- University Medical Center Utrecht and Princess Máxima Center, Utrecht, the Netherlands
- Comprehensive Cancer Center Munich of the Technical University of Munich and the Ludwig Maximilian University, Munich, Germany
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17
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Yu J, Gadwa J, Ross RB, Knitz M, Darragh LB, Abdelazeem KNM, Beynor J, Neupert B, Nguyen A, Nguyen D, Olimpo N, Corbo S, Van Court B, D'Alessandro A, Saviola A, Karam SD. IL7 in combination with radiotherapy stimulates a memory T-cell response to improve outcomes in HNSCC models. Cancer Immunol Immunother 2024; 73:90. [PMID: 38554147 PMCID: PMC10981637 DOI: 10.1007/s00262-024-03664-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 02/27/2024] [Indexed: 04/01/2024]
Abstract
Clinically approved head and neck squamous cell carcinoma (HNSCC) immunotherapies manipulate the immune checkpoint blockade (ICB) axis but have had limited success outside of recurrent/metastatic disease. Interleukin-7 (IL7) has been shown to be essential for effector T-cell survival, activation, and proliferation. Here, we show that IL7 in combination with radiotherapy (RT) is effective in activating CD8 + T-cells for reducing tumor growth. Our studies were conducted using both human papillomavirus related and unrelated orthotopic HNSCC murine models. Immune populations from the tumor, draining lymph nodes, and blood were compared between treatment groups and controls using flow cytometry, proteomics, immunofluorescence staining, and RNA sequencing. Treatment with RT and IL7 (RT + IL7) resulted in significant tumor growth reduction, high CD8 T-cell tumor infiltration, and increased proliferation of T-cell progenitors in the bone marrow. IL7 also expanded a memory-like subpopulation of CD8 T-cells. These results indicate that IL7 in combination with RT can serve as an effective immunotherapy strategy outside of the conventional ICB axis to drive the antitumor activity of CD8 T-cells.
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Affiliation(s)
- Justin Yu
- Department of Otolaryngology - Head and Neck Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Jacob Gadwa
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Richard B Ross
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Michael Knitz
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Laurel B Darragh
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Khalid N M Abdelazeem
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Radiation Biology Research Department, National Center for Radiation Research and Technology, Egyptian Atomic Energy Authority, Cairo, Egypt
| | - Jessica Beynor
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Brooke Neupert
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Alexander Nguyen
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Diemmy Nguyen
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Nicholas Olimpo
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Sophia Corbo
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Benjamin Van Court
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Angelo D'Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Anthony Saviola
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Sana D Karam
- Department of Radiation Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA.
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18
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Chen Q, Mo S, Zhu L, Tang M, Cheng J, Ye P, Zheng W, Hu J. Prognostic implication of UBE2C + CD8 + T cell in neoadjuvant immune checkpoint blockade plus chemotherapy for locally advanced esophageal cancer. Int Immunopharmacol 2024; 130:111696. [PMID: 38412672 DOI: 10.1016/j.intimp.2024.111696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 02/04/2024] [Accepted: 02/12/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Immune checkpoint blockers (ICBs) plus chemotherapy as neoadjuvant therapy for patients with esophageal cancer (EC) has gained substantial attention. This study aimed to investigate the early and mid-term outcome of neoadjuvant ICBs plus chemotherapy and discover immune-associated predictors of major pathological response (MPR) for locally advanced EC. METHOD Patients with locally advanced EC who received neoadjuvant ICBs plus chemotherapy were retrospectively included between June 2019 to December 2021. Conjoint analysis of Bulk-RNA seq (GSE165252) and scRNA seq (GSE188900) were used to investigate potential prognostic factors and immunological mechanisms, then multiplexed immunofluorescence was applied to validate. RESULTS 76 patients were included. A total of 21 (27.6 %) patients achieved MPR, with 13 (17.1 %) attaining a pathological complete response. Over a median follow-up of 1.8 years, 6 (7.9 %) patients died and 21 (27.6 %) experienced disease recurrence within 0.6 to 2.1 years after surgery. The overall survival rate and recurrence-free survival rate were 93.3 + 2.9 % and 84.8 + 4.2 % at 12 months, 90.8 + 3.7 % and 67.1 + 6.4 % at 24 months, and 90.8 + 3.7 % and 62.9 + 7.2 % at 36 months, respectively. Patients achieving MPR had a significantly lower risk of recurrence compared to non-responders (9.5 % vs 34.5 %, P = 0.017). Analysis of bulk-RNA seq and scRNA-seq revealed that UBE2C and UBE2C + CD8 + T cells were adverse prognostic factors. Immunohistochemistry demonstrated that the non-MPR group had a higher infiltration of UBE2C + immune cells than MPR group after neoadjuvant treatment. Multiplexed immunofluorescence confirmed that infiltrating UBE2C + CD8 + T cells in MPR group were significantly fewer than non-MPR group after neoadjuvant treatment, indicating their poor prognostic role for EC. CONCLUSIONS Neoadjuvant ICBs plus chemotherapy shows promising efficacy in locally advanced EC, with MPR being a significant predictor of lower recurrence risk. Immunological analyses identified UBE2C + CD8 + T cells as adverse prognostic factors, suggesting their potential as biomarkers for patient stratification and treatment response.
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Affiliation(s)
- Qiuming Chen
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
| | - Shaocong Mo
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Linhai Zhu
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Muhu Tang
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jun Cheng
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Peng Ye
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wanwei Zheng
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China.
| | - Jian Hu
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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19
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Guo Z, Yu J, Chen Z, Chen S, Wang L. Immunological Mechanisms behind Anti-PD-1/PD-L1 Immune Checkpoint Blockade: Intratumoral Reinvigoration or Systemic Induction? Biomedicines 2024; 12:764. [PMID: 38672120 PMCID: PMC11048152 DOI: 10.3390/biomedicines12040764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/16/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Anti-PD-1/PD-L1 immune checkpoint blockade (ICB) has been widely used to treat many types of cancer. It is well established that PD-L1 expressing cancer cells could directly inhibit the cytotoxicity of PD-1+ T cells via PD-L1-PD-1 interaction. However, histological quantification of intratumoral PD-L1 expression provides limited predictive value and PD-L1 negative patients could still benefit from ICB treatment. Therefore, the current major clinical challenges are low objective response rate and unclear immunological mechanisms behind responding vs. non-responding patients. Here, we review recent studies highlighting the importance of longitudinal pre- and post-ICB treatment on patients with various types of solid tumor to elucidate the mechanisms behind ICB treatment. On one hand, ICB induces changes in the tumor microenvironment by reinvigorating intratumoral PD-1+ exhausted T cells ("releasing the brakes"). On the other hand, ICB can also affect systemic antitumor immunity in the tumor-draining lymph node to induce priming/activation of cancer specific T cells, which is evident by T cell clonal expansion/replacement in peripheral blood. These studies reveal that ICB treatment not only acts on the tumor microenvironment ("battlefield") but also acts on immune organs ("training camp") of patients with solid tumors. A deeper understanding of the immunological mechanisms behind ICB treatment will pave the way for further improvements in clinical response.
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Affiliation(s)
| | | | | | | | - Lei Wang
- International Cancer Center, Shenzhen University Medical School, Shenzhen 518054, China; (Z.G.); (J.Y.); (Z.C.); (S.C.)
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20
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Yu Z, Liu H, Ye J, Liu Y, Xin L, Liu Q, Cheng Y, Yin L, Xu L. Integrative analysis identifies cancer cell-intrinsic RARRES1 as a predictor of prognosis and immune response in triple-negative breast cancer. Front Genet 2024; 15:1360507. [PMID: 38533207 PMCID: PMC10963550 DOI: 10.3389/fgene.2024.1360507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 02/20/2024] [Indexed: 03/28/2024] Open
Abstract
Triple-negative breast cancer (TNBC) is a subtype of breast cancer with poor prognosis and limited treatment options. Although immune checkpoint inhibitors (ICIs) have been proven to improve outcomes in TNBC patients, the potential mechanisms and markers that determine the therapeutic response to ICIs remains uncertain. Revealing the relationship and interaction between cancer cells and tumor microenvironment (TME) could be helpful in predicting treatment efficacy and developing novel therapeutic agents. By analyzing single-cell RNA sequencing dataset, we comprehensively profiled cell types and subpopulations as well as identified their signatures in the TME of TNBC. We also proposed a method for quantitatively assessment of the TME immune profile and provided a framework for identifying cancer cell-intrinsic features associated with TME through integrated analysis. Using integrative analyses, RARRES1 was identified as a TME-associated gene, whose expression was positively correlated with prognosis and response to ICIs in TNBC. In conclusion, this study characterized the heterogeneity of cellular components in TME of TNBC patients, and brought new insights into the relationship between cancer cells and TME. In addition, RARRES1 was identified as a potential predictor of prognosis and response to ICIs in TNBC.
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Affiliation(s)
- Zhengheng Yu
- Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China
| | - Hongjin Liu
- Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China
| | - Jingming Ye
- Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China
| | - Yinhua Liu
- Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China
| | - Ling Xin
- Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China
| | - Qian Liu
- Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China
| | - Yuanjia Cheng
- Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China
| | - Lu Yin
- Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ling Xu
- Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China
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21
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Ding Y, Zhou Q, Ding B, Zhang Y, Shen Y. Transcriptome analysis reveals the clinical significance of CXCL13 in Pan-Gyn tumors. J Cancer Res Clin Oncol 2024; 150:116. [PMID: 38459390 PMCID: PMC10923744 DOI: 10.1007/s00432-024-05619-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 01/09/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Gynecologic and breast tumors (Pan-Gyn) exhibit similar characteristics, and the role of CXCL13 in anti-tumor immunity and it's potential as a biomarker for immune checkpoint blockade (ICB) therapy have been gradually revealed. However, the precise role of CXCL13 in Pan-Gyn remains unclear, lacking a systematic analysis. METHODS We analyzed 2497 Pan-Gyn samples from the TCGA database, categorizing them into high and low CXCL13 expression groups. Validation was conducted using tumor expression datasets sourced from the GEO database. Correlation between CXCL13 and tumor immune microenvironment (TIME) was evaluated using multiple algorithms. Finally, we established nomograms for 3-year and 5-year mortality. RESULTS High expression of CXCL13 in Pan-Gyn correlates with a favorable clinical prognosis, increased immune cell infiltration, and reduced intra-tumor heterogeneity. Model was assessed using the C-index [BRCA: 0.763 (0.732-0.794), UCEC: 0.821 (0.793-0.849), CESC: 0.736 (0.684-0.788), and OV: 0.728 (0.707-0.749)], showing decent prediction of discrimination and calibration. CONCLUSION Overall, this study provides comprehensive insights into the commonalities and differences of CXCL13 in Pan-Gyn, potentially opening new avenues for personalized treatment.
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Affiliation(s)
- Yue Ding
- Zhongda Hospital Southeast University, Nanjing, China
| | - Quan Zhou
- Zhongda Hospital Southeast University, Nanjing, China
| | - Bo Ding
- Zhongda Hospital Southeast University, Nanjing, China
| | - Yang Zhang
- Department of Obstetrics and Gynecology, First People's Hospital of Lianyungang, No. 6 East Zhenhua Road, Haizhou, Lianyungang, China
| | - Yang Shen
- Zhongda Hospital Southeast University, Nanjing, China.
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22
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Chen J, Jia MN, Cai H, Li ZP, Li J, Zhou DB, Cao XX. Serum CXCL13 level is related to treatment response and predicts disease prognosis in Waldenström macroglobulinemia. Ann Hematol 2024:10.1007/s00277-024-05690-3. [PMID: 38448788 DOI: 10.1007/s00277-024-05690-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 02/29/2024] [Indexed: 03/08/2024]
Abstract
Waldenström macroglobulinemia (WM) is a type of B-cell lymphoma that produces IgM. Our study aimed to investigate the role of CXCL13, a chemokine essential for B lymphocytes, in the evaluation of treatment response and prognosis in WM. We collected serum samples and clinical data from 72 WM patients, with 69 patients receiving systemic therapy and 3 patients opting not to receive treatment. Serum CXCL13 levels at baseline and after six months of treatments were measured by enzyme-linked immunosorbent assay. The median serum level of CXCL13 was 1 539.2 pg/ml (range 10.0-21 389.9) at baseline and significantly decreased to 123.1 pg/ml (range 0.0-6 741.5) after 6 months of treatments. At baseline, higher CXCL13 levels were associated with lower hemoglobin levels (p = 0.001), higher β2-microglobulin levels (p = 0.001), lower albumin levels (p = 0.046), and higher IPSS-WM scores (p = 0.013). After 6 months of treatment, patients who achieved PR/VGPR had significantly lower CXCL13 levels compared to those with SD (70.2 pg/ml vs 798.6 pg/ml, p = 0.002). The median follow-up period was 40 months (range 4.2-188). Eight patients died during the follow-up period. Overall survival differed based on CXCL13 levels. When grouped by baseline CXCL13 levels, the median OS was 60.0 months in patients with serum CXCL13 > 2 000 pg/ml, while it was not reached in patients with low CXCL13 levels (p < 0.001). Based on CXCL13 levels after the treatments, the median OS was 74.0 months in patients with serum CXCL13 > 200 pg/ml, while it was not reached in patients with CXCL13 ≤ 200 pg/ml. In a subgroup of 28 patients with a series of serum samples, the increase of serum CXCL13 level was associated with disease progression or the start of next-line therapy (p < 0.001). Our study concludes that serum CXCL13 levels decrease in WM patients treated with various regimens and correlate with treatment response. Detecting serum CXCL13 at baseline or after treatment help in predicting prognosis.
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Affiliation(s)
- Jia Chen
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ming-Nan Jia
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hao Cai
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ze-Peng Li
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian Li
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dao-Bin Zhou
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin-Xin Cao
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Kong Q, Zhu H, Gong W, Deng X, Liu B, Dong J. Modified Bushen Yiqi formula enhances antitumor immunity by reducing the chemotactic recruitment of M2-TAMs and PMN-MDSCs in Lewis lung cancer-bearing mice. JOURNAL OF ETHNOPHARMACOLOGY 2024; 319:117183. [PMID: 37739106 DOI: 10.1016/j.jep.2023.117183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/24/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Modified Bushen Yiqi formula (MBYF) has shown efficacy as an herbal combination therapy with anti-PD-1 for lung cancer patients. However, the underlying mechanisms of its antitumor effects in lung cancer remain unclear. AIM OF THE STUDY This study aims to observe the antitumor effect of MBYF and explore its synergistic mechanism in combination with anti-PD-1 based on the tumor immune microenvironment. MATERIALS AND METHODS The antitumor effect of MBYF was assessed in Lewis Lung Cancer (LLC)-bearing mice by evaluating tumor volume, weight, and histology in five groups (model control, MBYF 8.125 g/kg, MBYF 16.25 g/kg, MBYF 32.50 g/kg, anti-PD-1). Mechanisms were analyzed using pharmacology network and tumor RNA-sequencing. Tumor-infiltrating immune cells were measured by flow cytometry and immunohistochemistry. Targets and pathways were validated through qRT-PCR, immuno-histochemistry, and western blotting. The synergistic effect of MBYF in combination with anti-PD-1 was validated in three groups (model control, anti-PD-1, anti-PD-1+MBYF 16.25 g/kg). RESULTS MBYF inhibited tumor growth and proliferation and demonstrated safety for the heart, liver, and kidney. Mechanistically, MBYF downregulated tumor proliferation by suppressing the expression of CCND1, CTNNB1, EGFR, and the PI3K-AKT/STAT3/ERK pathway. Furthermore, MBYF may upregulated the antitumor immunity (CD4+T cells, active CD8+ T cells, and NK cells) by reducing the infiltration of M2-TAMs and PMN-MDSCs. MBYF may inhibit the recruitment of M2-TAMs by downregulating the CCR5-CCLs axis and PMN-MDSCs by the CXCR2-CXCLs axis. In vivo study confirmed that MBYF enhanced the antitumor effect of anti-PD-1 therapy. CONCLUSION Modified Bushen Yiqi formula enhances antitumor immunity in the treatment of lung cancer by reducing the chemotactic recruitment of M2-TAMs and PMN-MDSCs, suggesting its potential as an adjunct therapy to enhance anti-PD-1 responses and improve treatment outcomes. Further research and clinical studies are needed to validate and expand upon these promising findings.
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Affiliation(s)
- Qing Kong
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China; Institutes of Integrative Medicine, Fudan University, Shanghai, China.
| | - Huahe Zhu
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China; Institutes of Integrative Medicine, Fudan University, Shanghai, China.
| | - Weiyi Gong
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China; Institutes of Integrative Medicine, Fudan University, Shanghai, China.
| | - Xiaohong Deng
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China; Institutes of Integrative Medicine, Fudan University, Shanghai, China.
| | - Baojun Liu
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China; Institutes of Integrative Medicine, Fudan University, Shanghai, China.
| | - Jingcheng Dong
- Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China; Institutes of Integrative Medicine, Fudan University, Shanghai, China.
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24
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Li J, Meng Z, Cao Z, Lu W, Yang Y, Li Z, Lu S. ADGRE5-centered Tsurv model in T cells recognizes responders to neoadjuvant cancer immunotherapy. Front Immunol 2024; 15:1304183. [PMID: 38343549 PMCID: PMC10853338 DOI: 10.3389/fimmu.2024.1304183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 01/02/2024] [Indexed: 02/15/2024] Open
Abstract
Background Neoadjuvant immunotherapy with anti-programmed death-1 (neo-antiPD1) has revolutionized perioperative methods for improvement of overall survival (OS), while approaches for major pathologic response patients' (MPR) recognition along with methods for overcoming non-MPR resistance are still in urgent need. Methods We utilized and integrated publicly-available immune checkpoint inhibitors regimens (ICIs) single-cell (sc) data as the discovery datasets, and innovatively developed a cell-communication analysis pipeline, along with a VIPER-based-SCENIC process, to thoroughly dissect MPR-responding subsets. Besides, we further employed our own non-small cell lung cancer (NSCLC) ICIs cohort's sc data for validation in-silico. Afterward, we resorted to ICIs-resistant murine models developed by us with multimodal investigation, including bulk-RNA-sequencing, Chip-sequencing and high-dimensional cytometry by time of flight (CYTOF) to consolidate our findings in-vivo. To comprehensively explore mechanisms, we adopted 3D ex-vivo hydrogel models for analysis. Furthermore, we constructed an ADGRE5-centered Tsurv model from our discovery dataset by machine learning (ML) algorithms for a wide range of tumor types (NSCLC, melanoma, urothelial cancer, etc.) and verified it in peripheral blood mononuclear cells (PBMCs) sc datasets. Results Through a meta-analysis of multimodal sequential sc sequencing data from pre-ICIs and post-ICIs, we identified an MPR-expanding T cells meta-cluster (MPR-E) in the tumor microenvironment (TME), characterized by a stem-like CD8+ T cluster (survT) with STAT5-ADGRE5 axis enhancement compared to non-MPR or pre-ICIs TME. Through multi-omics analysis of murine TME, we further confirmed the existence of survT with silenced function and immune checkpoints (ICs) in MPR-E. After verification of the STAT5-ADGRE5 axis of survT in independent ICIs cohorts, an ADGRE5-centered Tsurv model was then developed through ML for identification of MPR patients pre-ICIs and post-ICIs, both in TME and PBMCs, which was further verified in pan-cancer immunotherapy cohorts. Mechanistically, we unveiled ICIs stimulated ADGRE5 upregulation in a STAT5-IL32 dependent manner in a 3D ex-vivo system (3D-HYGTIC) developed by us previously, which marked Tsurv with better survival flexibility, enhanced stemness and potential cytotoxicity within TME. Conclusion Our research provides insights into mechanisms underlying MPR in neo-antiPD1 and a well-performed model for the identification of non-MPR.
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Affiliation(s)
| | | | | | | | | | - Ziming Li
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China
| | - Shun Lu
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China
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25
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Wang G, Fu J, Liu M, Zheng Q. CXC chemokines: Potential biomarker and immunotherapeutic target for uterine corpus endometrial carcinoma. PLoS One 2024; 19:e0277872. [PMID: 38232115 DOI: 10.1371/journal.pone.0277872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/11/2022] [Indexed: 01/19/2024] Open
Abstract
Uterine corpus endometrial carcinoma (UCEC) is one of the most common type of gynecological malignancies. Multiple lines of evidence indicated that CXC chemokines exerted an anti-tumor immunological role in the tumor microenvironment which were critical regulators of cancer immunity. However, the relevance of CXC chemokines in the evaluation of prognosis and immune infiltration of UCEC remains to be explored. This study utilized various online databases, including TCGA, UALCAN, Kaplan-Meier Plotter, cBioPortal, TIMER2.0, TISIDB, and MethSurv to perform the analysis. Gene expression data from the TCGA-UCEC dataset indicated decreased expression of CXCL2/12 and increased expression of CXCL14/17. CXCL2/12 expression was negatively whereas CXCL14/17 expression was positively correlated with clinicopathological features of UCEC patients, including cancer stage, patients' age, weight and menopause status. Patients with higher CXCL12/14 expression corresponded with better clinical outcomes, which were not influenced by the genetic alterations. The differential expression of CXCL2/12/14/17 was not only significantly correlated with immune infiltration levels, but also the abundance of immune checkpoint inhibitors. Heatmaps of DNA methylation of CXCL2/12/14/17 were investigated, and 4 CpGs of CXCL2, 16 CpGs of CXCL12, 3 CpGs of CXCL14/17 were identified where altered methylation affected the prognosis of UCEC patients. These findings provided novel insights into the immunologic features of UCEC and might pave the way toward the prognostic evaluation and immunotherapy selection based on CXCL2/12/14/17 expression status.
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Affiliation(s)
- Guang Wang
- Department of Dalian Key Laboratory of Reproduction and Mother-child Genetic, Reproductive & Genetic Medicine Center, Dalian Women and Children's Medical Group, Dalian, Liaoning Province, China
| | - Juan Fu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Mulin Liu
- Department of Clinical Laboratory, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Qin Zheng
- Department of Biochemistry and Molecular Biology, Dalian Medical University, Dalian, Liaoning Province, China
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26
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Hwang A, Kechter J, Do T, Hughes A, Zhang N, Li X, Wasikowski R, Brumfiel C, Patel M, Boudreaux B, Bhullar P, Nassir S, Yousif M, DiCaudo DJ, Fox J, Gharaee-Kermani M, Xing X, Zunich S, Branch E, Kahlenberg JM, Billi AC, Plazyo O, Tsoi LC, Pittelkow MR, Gudjonsson JE, Mangold AR. Oral Baricitinib in the Treatment of Cutaneous Lichen Planus. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.09.24300946. [PMID: 38260663 PMCID: PMC10802654 DOI: 10.1101/2024.01.09.24300946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Background Cutaneous lichen planus (LP) is a recalcitrant, difficult-to-treat, inflammatory skin disease characterized by pruritic, flat-topped, violaceous papules on the skin. Baricitinib is an oral Janus kinase (JAK) 1/2 inhibitor that interrupts the signaling pathway of interferon (IFN)-γ, a cytokine implicated in the pathogenesis of LP. Methods In this phase II trial, twelve patients with cutaneous LP received baricitinib 2 mg daily for 16 weeks, accompanied by in-depth spatial, single-cell, and bulk transcriptomic profiling of pre-and post-treatment samples. Results An early and sustained clinical response was seen with 83.3% of patients responsive at week 16. Our molecular data identified a unique, oligoclonal IFN-γ, CD8+, CXCL13+ cytotoxic T-cell population in LP skin and demonstrate a rapid decrease in interferon signature within 2 weeks of treatment, most prominent in the basal layer of the epidermis. Conclusion This study demonstrates the efficacy and molecular mechanisms of JAK inhibition in LP. Trial Registration Number : NCT05188521.
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Huang R, Lu X, Sun X, Wu H. A novel immune cell signature for predicting glioblastoma after radiotherapy prognosis and guiding therapy. Int J Immunopathol Pharmacol 2024; 38:3946320241249395. [PMID: 38687369 PMCID: PMC11062235 DOI: 10.1177/03946320241249395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 03/28/2024] [Indexed: 05/02/2024] Open
Abstract
Background: Glioblastoma, a highly aggressive brain tumor, poses a significant clinical challenge, particularly in the context of radiotherapy. In this study, we aimed to explore infiltrating immune cells and identify immune-related genes associated with glioblastoma radiotherapy prognosis. Subsequently, we constructed a signature based on these genes to discern differences in molecular and tumor microenvironment immune characteristics, ultimately informing potential therapeutic strategies for patients with varying risk profiles. Methods: We leveraged UCSC Xena and CGGA gene expression profiles from post-radiotherapy glioblastoma as verification cohorts. Infiltration ratios were stratified into high and low groups based on the median value. Differential gene expression was determined through Limma differential analysis. A signature comprising four genes was constructed, guided by Gene Ontology (GO) functional enrichment results and Kaplan-Meier survival analysis. We evaluated differences in cell infiltration levels, Immune Score, Stromal Score, and ESTIMATE Score and their Pearson correlations with the signature. Spearman's correlation was computed between the signature and patient drug sensitivity (IC50), predicted using Genomics of Drug Sensitivity in Cancer (GDSC) and CCLE databases. Results: Notably, the infiltration of central memory CD8+T cells exhibited a significant correlation with glioblastoma radiotherapy prognosis. Samples were dichotomized into high- and low-risk groups based on the optimal signature threshold (2.466642). Kaplan-Meier (K-M) survival analysis revealed that the high-risk group experienced a significantly poorer prognosis (p = .0068), with AUC values exceeding 0.82 at 1, 3, and 5 years, underscoring the robust predictive potential of the signature scoring system. Independent validation sets substantiated the validity of the signature. Statistically significant differences in tumor microenvironments (p < .05) were observed between high- and low-risk groups, and these differences were significantly correlated with the signature (p < .05). Furthermore, there were significant correlations between high and low-risk groups regarding immune checkpoint expressions, Immune Prognostic Score (IPS), and Tumor Immune Dysfunction and Exclusion (TIDE) scores. Conclusion: The immune cell signature, comprising SDC-1, PLAUR, FN1, and CXCL13, holds promise as a predictive tool for assessing glioblastoma prognosis following radiotherapy. This signature also offers valuable guidance for tailoring treatment strategies, emphasizing its potential clinical relevance in improving patient outcomes.
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Affiliation(s)
- Rong Huang
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Xiaoxu Lu
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Xueming Sun
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Hui Wu
- Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
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28
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Bibbò S, Porcari S, Del Vecchio LE, Severino A, Mullish BH, Ianiro G, Gasbarrini A, Cammarota G. Gut microbiota and immunotherapy of renal cell carcinoma. Hum Vaccin Immunother 2023; 19:2268982. [PMID: 37955340 PMCID: PMC10653624 DOI: 10.1080/21645515.2023.2268982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 10/06/2023] [Indexed: 11/14/2023] Open
Abstract
The gut microbiome has recently been proposed as a key player in cancer development and progression. Several studies have reported that the composition of the gut microbiome plays a role in the response to immune checkpoint inhibitors (ICIs). The gut microbiome modulation has been investigated as a potential therapeutic strategy for cancer, mainly in patients undergoing therapy with ICIs. In particular, modulation through probiotics, FMT or other microbiome-related approaches have proven effective to improve the response to ICIs. In this review, we examine the role of the gut microbiome in enhancing clinical responses to ICIs in the treatment of renal cancer.
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Affiliation(s)
- Stefano Bibbò
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Serena Porcari
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Livio Enrico Del Vecchio
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Andrea Severino
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Benjamin H. Mullish
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St Mary’s Hospital Campus, Imperial College London, London, UK
- Departments of Gastroenterology and Hepatology, St Mary’s Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Gianluca Ianiro
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Antonio Gasbarrini
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Giovanni Cammarota
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
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29
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van Eijs MJM, Verheijden RJ, van der Wees SA, Nierkens S, van Lindert ASR, Suijkerbuijk KPM, van Wijk F. Toxicity-specific peripheral blood T and B cell dynamics in anti-PD-1 and combined immune checkpoint inhibition. Cancer Immunol Immunother 2023; 72:4049-4064. [PMID: 37794264 DOI: 10.1007/s00262-023-03541-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 09/03/2023] [Indexed: 10/06/2023]
Abstract
Immune checkpoint inhibitors (ICI) have revolutionized the treatment landscape of advanced malignancies, but come with a diverse spectrum of immune-related adverse events (irAEs). Mechanistic studies can aid the transition from expert-opinion to evidence-based irAE treatment strategies. We aimed to longitudinally characterize peripheral blood T and B cell dynamics in ICI-treated patients by multicolor flow cytometry and serum multiplex immunoassay at baseline, ± 3 weeks and ± 6 weeks or upon clinically relevant irAEs. We analyzed samples from 44 ICI-treated patients (24 anti-PD-1 monotherapy, 20 combined anti-PD-1/anti-CTLA-4; cICI), of whom 21 developed irAEs, and 10 healthy donors. IrAEs after cICI were characterized by significantly enhanced proliferation of Th1-associated, mainly (CD4+) CD27- effector memory T cells, as well as Th17-associated immune responses and germinal center activation (reflected by CXCL13 and IL-21 increases). We observed no changes in CD21lo, memory, class-switched or newly activated B cell subsets. Particularly double-positive PD-1+LAG-3+ CD8+ T cells showed enhanced cytotoxic capacity in patients with irAEs after cICI. Within anti-PD-1 monotherapy, irAEs were associated with modestly enhanced Th1-associated responses reflected by increased serum CXCL9 and CXCL10. In conclusion, ICI-induced toxicity is dominated by enhanced Th1-associated responses, but in cICI we also found evidence for Th17-associated responses and germinal center activation. Together, our data add to the growing body of evidence that irAEs may be driven by newly activated CD4+ helper T cells, specifically after cICI. This study also supports tailored irAE treatment, based on ICI regimen, and to deploy specific strategies such as Th17 inhibition especially in cICI-associated irAEs.
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Affiliation(s)
- Mick J M van Eijs
- Department of Medical Oncology, University Medical Center Utrecht, KC.02.085.2, P.O. Box 85090, 3508 AB, Utrecht, the Netherlands.
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, the Netherlands.
| | - Rik J Verheijden
- Department of Medical Oncology, University Medical Center Utrecht, KC.02.085.2, P.O. Box 85090, 3508 AB, Utrecht, the Netherlands
| | - Stefanie A van der Wees
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Stefan Nierkens
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Anne S R van Lindert
- Department of Pulmonology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Karijn P M Suijkerbuijk
- Department of Medical Oncology, University Medical Center Utrecht, KC.02.085.2, P.O. Box 85090, 3508 AB, Utrecht, the Netherlands
| | - Femke van Wijk
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, the Netherlands
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30
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Wang R, Qiu M, Zhang L, Sui M, Xiao L, Yu Q, Ye C, Chen S, Zhou X. Augmenting Immunotherapy via Bioinspired MOF-Based ROS Homeostasis Disruptor with Nanozyme-Cascade Reaction. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2306748. [PMID: 37689996 DOI: 10.1002/adma.202306748] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/16/2023] [Indexed: 09/11/2023]
Abstract
Despite its remarkable clinical breakthroughs, immune checkpoint blockade (ICB) therapy remains limited by the insufficient immune response in the "cold" tumor. Nanozyme-based antitumor catalysis is associated with precise immune activation in the tumor microenvironment (TME). In this study, a cascade-augmented nanoimmunomodulator (CMZM) with multienzyme-like activities, which includes superoxide dismutase (SOD), catalase (CAT), peroxidase (POD), and glutathione oxidase (GSHOx), that dissociates under an acidic and abundant GSH TME, is proposed for multimodal imaging-guided chemodynamic therapy (CDT)/photodynamic therapy (PDT) enhanced immunotherapy. Vigorous multienzyme-like activities can not only produce O2 to alleviate hypoxia and promote the polarization of M2 to M1 macrophages, but also generate ROS (•OH and 1 O2 ) and deplete GSH in the TME to expose necrotic cell fragments and reverse immunosuppressive TME by eliciting the maturation of dendritic cells and infiltration of cytotoxic T lymphocytes (CTLs) in tumors. Therefore, inhibitory effects on both primary and distant tumors are achieved through synergy with an α-PD-L1 blocking antibody. This cascade multienzyme-based nanoplatform provides a smart strategy for highly efficient ICB immunotherapy against "cold" tumors by revising immunosuppressive TME.
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Affiliation(s)
- Ruifang Wang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Maosong Qiu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Lei Zhang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
- Optics Valley Laboratory, Hubei, 430074, P. R. China
| | - Meiju Sui
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Long Xiao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Qiao Yu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
| | - Chaohui Ye
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
- Optics Valley Laboratory, Hubei, 430074, P. R. China
| | - Shizhen Chen
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
- Optics Valley Laboratory, Hubei, 430074, P. R. China
| | - Xin Zhou
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430071, P. R. China
- University of Chinese Academy of Sciences, Beijing, 100049, P. R. China
- Optics Valley Laboratory, Hubei, 430074, P. R. China
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31
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Li C, Zhang L, Jin Q, Jiang H, Wu C. Role and application of chemokine CXCL13 in central nervous system lymphoma. Ann Hematol 2023:10.1007/s00277-023-05560-4. [PMID: 38010409 DOI: 10.1007/s00277-023-05560-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/20/2023] [Indexed: 11/29/2023]
Abstract
Chemokine ligand 13 (CXCL13) and its chemokine receptor 5 (CXCR5) both play significant roles in the tumor microenvironment (TME). CXCL13 in cerebrospinal fluid (CSF) has recently been found to have significant diagnostic and prognostic value in primary and secondary central nervous system (CNS) diffuse large B-cell lymphoma (DLBCL), and the CXCL13-CXCR5 axis has been shown to play an important chemotactic role in the TME of CNS-DLBCL. In this review, we first describe the clinical value of CXCL13 in CSF as a prognostic and diagnostic biomarker for CNS-DLBCL. In addition, this review also discusses the specific mechanisms associated with the CXCL13-CXCR5 axis in tumor immunity of primary diffuse large B cell lymphoma of the central nervous system (PCNS-DLBCL) by reviewing the specific mechanisms of this axis in the immune microenvironment of DLBCL and CNS inflammation, as well as the prospects for the use of CXCL13-CXCR5 axis in immunotherapy in PCNS-DLBCL.
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Affiliation(s)
- Cuicui Li
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China
| | - Litian Zhang
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China
| | - Qiqi Jin
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China
| | - Haoyun Jiang
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China
| | - Chongyang Wu
- Department of Hematology, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, China.
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32
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Sathe A, Ayala C, Bai X, Grimes SM, Lee B, Kin C, Shelton A, Poultsides G, Ji HP. GITR and TIGIT immunotherapy provokes divergent multicellular responses in the tumor microenvironment of gastrointestinal cancers. Genome Med 2023; 15:100. [PMID: 38008725 PMCID: PMC10680277 DOI: 10.1186/s13073-023-01259-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 11/14/2023] [Indexed: 11/28/2023] Open
Abstract
BACKGROUND Understanding the mechanistic effects of novel immunotherapy agents is critical to improving their successful clinical translation. These effects need to be studied in preclinical models that maintain the heterogenous tumor microenvironment (TME) and dysfunctional cell states found in a patient's tumor. We investigated immunotherapy perturbations targeting co-stimulatory molecule GITR and co-inhibitory immune checkpoint TIGIT in a patient-derived ex vivo system that maintains the TME in its near-native state. Leveraging single-cell genomics, we identified cell type-specific transcriptional reprogramming in response to immunotherapy perturbations. METHODS We generated ex vivo tumor slice cultures from fresh surgical resections of gastric and colon cancer and treated them with GITR agonist or TIGIT antagonist antibodies. We applied paired single-cell RNA and TCR sequencing to the original surgical resections, control, and treated ex vivo tumor slice cultures. We additionally confirmed target expression using multiplex immunofluorescence and validated our findings with RNA in situ hybridization. RESULTS We confirmed that tumor slice cultures maintained the cell types, transcriptional cell states and proportions of the original surgical resection. The GITR agonist was limited to increasing effector gene expression only in cytotoxic CD8 T cells. Dysfunctional exhausted CD8 T cells did not respond to GITR agonist. In contrast, the TIGIT antagonist increased TCR signaling and activated both cytotoxic and dysfunctional CD8 T cells. This included cells corresponding to TCR clonotypes with features indicative of potential tumor antigen reactivity. The TIGIT antagonist also activated T follicular helper-like cells and dendritic cells, and reduced markers of immunosuppression in regulatory T cells. CONCLUSIONS We identified novel cellular mechanisms of action of GITR and TIGIT immunotherapy in the patients' TME. Unlike the GITR agonist that generated a limited transcriptional response, TIGIT antagonist orchestrated a multicellular response involving CD8 T cells, T follicular helper-like cells, dendritic cells, and regulatory T cells. Our experimental strategy combining single-cell genomics with preclinical models can successfully identify mechanisms of action of novel immunotherapy agents. Understanding the cellular and transcriptional mechanisms of response or resistance will aid in prioritization of targets and their clinical translation.
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Affiliation(s)
- Anuja Sathe
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 2245, 269 Campus Drive, Stanford, CA, 94305, USA
| | - Carlos Ayala
- Division of Surgical Oncology, Department of Surgery, Stanford University, Stanford, CA, USA
| | - Xiangqi Bai
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 2245, 269 Campus Drive, Stanford, CA, 94305, USA
| | - Susan M Grimes
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 2245, 269 Campus Drive, Stanford, CA, 94305, USA
| | - Byrne Lee
- Division of Surgical Oncology, Department of Surgery, Stanford University, Stanford, CA, USA
| | - Cindy Kin
- Division of Surgical Oncology, Department of Surgery, Stanford University, Stanford, CA, USA
| | - Andrew Shelton
- Division of Surgical Oncology, Department of Surgery, Stanford University, Stanford, CA, USA
| | - George Poultsides
- Division of Surgical Oncology, Department of Surgery, Stanford University, Stanford, CA, USA
| | - Hanlee P Ji
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, CCSR 2245, 269 Campus Drive, Stanford, CA, 94305, USA.
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33
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Jeon SH, Song C, Eom KY, Kim IA, Kim JS. Modulation of CD8 + T Cell Responses by Radiotherapy-Current Evidence and Rationale for Combination with Immune Checkpoint Inhibitors. Int J Mol Sci 2023; 24:16691. [PMID: 38069014 PMCID: PMC10706388 DOI: 10.3390/ijms242316691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 11/17/2023] [Accepted: 11/22/2023] [Indexed: 12/18/2023] Open
Abstract
Radiotherapy for cancer has been known to affect the responses of immune cells, especially those of CD8+ T cells that play a pivotal role in anti-tumor immunity. Clinical success of immune checkpoint inhibitors led to an increasing interest in the ability of radiation to modulate CD8+ T cell responses. Recent studies that carefully analyzed CD8+ T cell responses following radiotherapy suggest the beneficial roles of radiotherapy on anti-tumor immunity. In addition, numerous clinical trials to evaluate the efficacy of combining radiotherapy with immune checkpoint inhibitors are currently undergoing. In this review, we summarize the current status of knowledge regarding the changes in CD8+ T cells following radiotherapy from various preclinical and clinical studies. Furthermore, key biological mechanisms that underlie such modulation, including both direct and indirect effects, are described. Lastly, we discuss the current evidence and essential considerations for harnessing radiotherapy as a combination partner for immune checkpoint inhibitors.
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Affiliation(s)
| | | | | | | | - Jae-Sung Kim
- Department of Radiation Oncology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam 13620, Republic of Korea; (S.H.J.); (C.S.); (K.-Y.E.); (I.A.K.)
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34
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Meng Z, Rodriguez Ehrenfried A, Tan CL, Steffens LK, Kehm H, Zens S, Lauenstein C, Paul A, Schwab M, Förster JD, Salek M, Riemer AB, Wu H, Eckert C, Leonhardt CS, Strobel O, Volkmar M, Poschke I, Offringa R. Transcriptome-based identification of tumor-reactive and bystander CD8 + T cell receptor clonotypes in human pancreatic cancer. Sci Transl Med 2023; 15:eadh9562. [PMID: 37967201 DOI: 10.1126/scitranslmed.adh9562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 10/16/2023] [Indexed: 11/17/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is generally refractory to immune checkpoint blockade, although patients with genetically unstable tumors can show modest therapeutic benefit. We previously demonstrated the presence of tumor-reactive CD8+ T cells in PDAC samples. Here, we charted the tumor-infiltrating T cell repertoire in PDAC by combining single-cell transcriptomics with functional testing of T cell receptors (TCRs) for reactivity against autologous tumor cells. On the basis of a comprehensive dataset including 93 tumor-reactive and 65 bystander TCR clonotypes, we delineated a gene signature that effectively distinguishes between these T cell subsets in PDAC, as well as in other tumor indications. This revealed a high frequency of tumor-reactive TCR clonotypes in three genetically unstable samples. In contrast, the T cell repertoire in six genetically stable PDAC tumors was largely dominated by bystander T cells. Nevertheless, multiple tumor-reactive TCRs were successfully identified in each of these samples, thereby providing a perspective for personalized immunotherapy in this treatment-resistant indication.
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Affiliation(s)
- Zibo Meng
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Sino-German Laboratory of Personalized Medicine for Pancreatic Cancer, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022 Wuhan, China
| | - Aaron Rodriguez Ehrenfried
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Helmholtz-Institute for Translational Oncology by DKFZ (HI-TRON), 55131 Mainz, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Chin Leng Tan
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Laura K Steffens
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Hannes Kehm
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Stefan Zens
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Claudia Lauenstein
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Alina Paul
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Marius Schwab
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Jonas D Förster
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
- Division of Immunotherapy & Immunoprevention, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Molecular Vaccine Design, German Center for Infection Research (DZIF), partner site Heidelberg, 69120 Heidelberg, Germany
| | - Mogjiborahman Salek
- Division of Immunotherapy & Immunoprevention, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Molecular Vaccine Design, German Center for Infection Research (DZIF), partner site Heidelberg, 69120 Heidelberg, Germany
| | - Angelika B Riemer
- Division of Immunotherapy & Immunoprevention, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Molecular Vaccine Design, German Center for Infection Research (DZIF), partner site Heidelberg, 69120 Heidelberg, Germany
| | - Heshui Wu
- Sino-German Laboratory of Personalized Medicine for Pancreatic Cancer, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022 Wuhan, China
- Department of Pancreatic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022 Wuhan, China
| | - Christoph Eckert
- Pathology Institute, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Carl-Stephan Leonhardt
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Oliver Strobel
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Michael Volkmar
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Helmholtz-Institute for Translational Oncology by DKFZ (HI-TRON), 55131 Mainz, Germany
| | - Isabel Poschke
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, 69120 Heidelberg, Germany
- Immune Monitoring Unit, National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Rienk Offringa
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Sino-German Laboratory of Personalized Medicine for Pancreatic Cancer, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022 Wuhan, China
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35
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Liu Z, Zhang Y, Ma N, Yang Y, Ma Y, Wang F, Wang Y, Wei J, Chen H, Tartarone A, Velotta JB, Dayyani F, Gabriel E, Wakefield CJ, Kidane B, Carbonelli C, Long L, Liu Z, Su J, Li Z. Progenitor-like exhausted SPRY1 +CD8 + T cells potentiate responsiveness to neoadjuvant PD-1 blockade in esophageal squamous cell carcinoma. Cancer Cell 2023; 41:1852-1870.e9. [PMID: 37832554 DOI: 10.1016/j.ccell.2023.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 08/15/2023] [Accepted: 09/18/2023] [Indexed: 10/15/2023]
Abstract
Neoadjuvant immune checkpoint blockade (ICB) demonstrates promise in operable esophageal squamous cell carcinoma (ESCC), but lacks available efficacy biomarkers. Here, we perform single-cell RNA-sequencing of tumors from patients with ESCC undergoing neoadjuvant ICB, revealing a subset of exhausted CD8+ T cells expressing SPRY1 (CD8+ Tex-SPRY1) that displays a progenitor exhausted T cell (Tpex) phenotype and correlates with complete response to ICB. We validate CD8+ Tex-SPRY1 cells as an ICB-specific predictor of improved response and survival using independent ICB-/non-ICB cohorts and demonstrate that expression of SPRY1 in CD8+ T cells enforces Tpex phenotype and enhances ICB efficacy. Additionally, CD8+ Tex-SPRY1 cells contribute to proinflammatory phenotype of macrophages and functional state of B cells, which thereby promotes antitumor immunity by enhancing CD8+ T cell effector functions. Overall, our findings unravel progenitor-like CD8+ Tex-SPRY1 cells' role in effective responses to ICB for ESCC and inform mechanistic biomarkers for future individualized immunotherapy.
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Affiliation(s)
- Zhichao Liu
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Institute of Thoracic Oncology, Shanghai 200030, China
| | - Yaru Zhang
- School of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, Zhejiang 325101, China
| | - Ning Ma
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Institute of Thoracic Oncology, Shanghai 200030, China
| | - Yang Yang
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Institute of Thoracic Oncology, Shanghai 200030, China
| | - Yunlong Ma
- School of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
| | - Feng Wang
- State Key Laboratory of Oncogenes and Related Genes, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Yan Wang
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Jinzhi Wei
- Department of Pathology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Hongyan Chen
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Alfredo Tartarone
- Division of Medical Oncology, Department of Onco-Hematology, IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture (PZ) 85028, Italy
| | - Jeffrey B Velotta
- Department of Thoracic Surgery, Kaiser Permanente Oakland Medical Center, Kaiser Permanente Northern California, Oakland, CA 94611, USA
| | - Farshid Dayyani
- Chao Comprehensive Cancer Center, University of California Irvine, Orange, CA 92868, USA
| | - Emmanuel Gabriel
- Department of Surgery, Division of Surgical Oncology, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Connor J Wakefield
- Department of Internal Medicine, Brooke Army Medical Center, Fort Sam Houston, TX 78234, USA
| | - Biniam Kidane
- Section of Thoracic Surgery, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Cristiano Carbonelli
- Pneumology Unit, Department of Medical Sciences, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo 71013, Italy
| | - Lingyun Long
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Zhihua Liu
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
| | - Jianzhong Su
- School of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China; Oujiang Laboratory, Zhejiang Lab for Regenerative Medicine, Vision and Brain Health, Wenzhou, Zhejiang 325101, China.
| | - Zhigang Li
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Shanghai Institute of Thoracic Oncology, Shanghai 200030, China.
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36
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Abstract
T cells can acquire a broad spectrum of differentiation states following activation. At the extreme ends of this continuum are short-lived cells equipped with effector machinery and more quiescent, long-lived cells with heightened proliferative potential and stem cell-like developmental plasticity. The latter encompass stem-like exhausted T cells and memory T cells, both of which have recently emerged as key determinants of cancer immunity and response to immunotherapy. Here, we discuss key similarities and differences in the regulation and function of stem-like exhausted CD8+ T cells and memory CD8+ T cells, and consider their context-specific contributions to protective immunity in diverse outcomes of cancer, including tumour escape, long-term control and eradication. Finally, we emphasize how recent advances in the understanding of the molecular regulation of stem-like exhausted T cells and memory T cells are being explored for clinical benefit in cancer immunotherapies such as checkpoint inhibition, adoptive cell therapy and vaccination.
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Affiliation(s)
- Thomas Gebhardt
- Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria, Australia.
| | - Simone L Park
- Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Immunology and Immune Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ian A Parish
- Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia.
- John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia.
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37
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Chen K, Ma Y, Liu X, Zhong X, Long D, Tian X, Zheng L, Yang Y. Single-cell RNA-seq reveals characteristics in tumor microenvironment of PDAC with MSI-H following neoadjuvant chemotherapy with anti-PD-1 therapy. Cancer Lett 2023; 576:216421. [PMID: 37778681 DOI: 10.1016/j.canlet.2023.216421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/27/2023] [Accepted: 09/29/2023] [Indexed: 10/03/2023]
Abstract
Accumulating evidence suggests the minority of patients with advanced pancreatic ductal adenocarcinoma (PDAC) that have microsatellite instability high (MSI-H) can benefit from immune checkpoint inhibitors (ICIs). However, the effects of ICIs on the tumor microenvironment (TME) of PDAC remain elusive. We conducted single-cell RNA-seq (scRNA-seq) analysis on a residual lesion from a MSI-H PDAC patient who received a radical operation after eight cycles of neoadjuvant treatment (nab-paclitaxel/gemcitabine plus pembrolizumab). Multiple tumor subclusters were identified in residual lesion after neoadjuvant treatment, one of which was mainly composed of cells in the S and G2M phases. This subcluster also had enriched expression of MKI67 and PCNA and cell cycle-related signatures and was thus defined as a proliferating tumor subcluster. This subcluster had higher S_score, Fatty acid_score, UPR_score, and Glycolysis_score than others. We also identified characteristics of the TME after neoadjuvant treatment by comparing the excised primary tumors form nontreated PDAC and the residual lesion. The residual lesion was characterized with activated pancreatic stellate cells (PSCs) and exhausted T cells (Tex). We compared the receptor-ligand interactions between the two groups, and found that no checkpoint receptor-ligand pairs between T cells and tumor cells were identified in the residual lesion, while there were many checkpoint receptor-ligand pairs in the nontreated primary PDAC. In conclusion, our findings revealed the characteristics of residual lesion of advanced PDAC with MSI-H upon combination treatment of chemotherapy and immunotherapy, which might provide some valuable clues for solving the puzzle of ICI in PDAC.
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Affiliation(s)
- Kai Chen
- Department of General Surgery, Peking University First Hospital, Beijing, 100034, China
| | - Yongsu Ma
- Department of General Surgery, Peking University First Hospital, Beijing, 100034, China
| | - Xinxin Liu
- Department of General Surgery, Peking University First Hospital, Beijing, 100034, China
| | - Xiejian Zhong
- Department of General Surgery, Peking University First Hospital, Beijing, 100034, China
| | - Di Long
- Department of General Surgery, Peking University First Hospital, Beijing, 100034, China
| | - Xiaodong Tian
- Department of General Surgery, Peking University First Hospital, Beijing, 100034, China.
| | - Lei Zheng
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; The Skip Viragh Pancreatic Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; The Pancreatic Cancer Precision Medicine Center of Excellence Program, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; The Bloomberg Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
| | - Yinmo Yang
- Department of General Surgery, Peking University First Hospital, Beijing, 100034, China.
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Liang T, Tao T, Wu K, Liu L, Xu W, Zhou D, Fang H, Ding Q, Huang G, Wu S. Cancer-Associated Fibroblast-Induced Remodeling of Tumor Microenvironment in Recurrent Bladder Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303230. [PMID: 37743226 PMCID: PMC10625065 DOI: 10.1002/advs.202303230] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/24/2023] [Indexed: 09/26/2023]
Abstract
Bladder carcinoma (BC) recurrence is a major clinical challenge, and targeting the tumor microenvironment (TME) is a promising therapy. However, the relationship between individual TME components, particularly cancer-associated fibroblasts (CAFs), and tumor recurrence is unclear. Here, TME heterogeneity in primary and recurrent BC is investigated using single-cell RNA sequence profiling of 62 460 cells. Two cancer stem cell (CSC) subtypes are identified in recurrent BC. An inflammatory CAF subtype, ICAM1+ iCAFs, specifically associated with BC recurrence is also identified. iCAFs are found to secrete FGF2, which acts on the CD44 receptor of rCSC-M, thereby maintaining tumor stemness and epithelial-mesenchymal transition. Additionally, THBS1+ monocytes, a group of myeloid-derived suppressor cells (MDSCs), are enriched in recurrent BC and interacted with CAFs. ICAM1+ iCAFs are found to secrete CCL2, which binds to CCR2 in MDSCs. Moreover, elevated STAT3, NFKB2, VEGFA, and CTGF levels in iCAFs reshape the TME in recurrent tumors. CCL2 inhibition in an in situ BC mouse model suppressed tumor growth, decreased MDSCs and Tregs, and fostered tumor immune suppression. The study results highlight the role of iCAFs in TME cell-cell crosstalk during recurrent BC. The identification of pivotal signaling factors driving BC relapse is promising for the development of novel therapies.
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Affiliation(s)
- Ting Liang
- Institute of UrologyThe Third Affiliated Hospital of Shenzhen UniversityShenzhen518116China
- Shenzhen Following Precision Medical Research InstituteLuohu Hospital GroupShenzhen518000China
| | - Tao Tao
- Institute of UrologyThe Third Affiliated Hospital of Shenzhen UniversityShenzhen518116China
- Shenzhen Following Precision Medical Research InstituteLuohu Hospital GroupShenzhen518000China
| | - Kai Wu
- Institute of UrologyThe Third Affiliated Hospital of Shenzhen UniversityShenzhen518116China
- Shenzhen Following Precision Medical Research InstituteLuohu Hospital GroupShenzhen518000China
| | - Lisha Liu
- Institute of UrologyThe Third Affiliated Hospital of Shenzhen UniversityShenzhen518116China
- Shenzhen Following Precision Medical Research InstituteLuohu Hospital GroupShenzhen518000China
| | - Wuwu Xu
- Institute of UrologyThe Third Affiliated Hospital of Shenzhen UniversityShenzhen518116China
- Shenzhen Following Precision Medical Research InstituteLuohu Hospital GroupShenzhen518000China
| | - Dewang Zhou
- Institute of UrologyThe Third Affiliated Hospital of Shenzhen UniversityShenzhen518116China
- Shenzhen Following Precision Medical Research InstituteLuohu Hospital GroupShenzhen518000China
| | - Hu Fang
- Department of UrologySouth China Hospital of Shenzhen UniversityShenzhen518000China
| | - Qiuxia Ding
- Institute of UrologyThe Third Affiliated Hospital of Shenzhen UniversityShenzhen518116China
- Shenzhen Following Precision Medical Research InstituteLuohu Hospital GroupShenzhen518000China
| | - Guixiao Huang
- Institute of UrologyThe Third Affiliated Hospital of Shenzhen UniversityShenzhen518116China
| | - Song Wu
- Institute of UrologyThe Third Affiliated Hospital of Shenzhen UniversityShenzhen518116China
- Shenzhen Following Precision Medical Research InstituteLuohu Hospital GroupShenzhen518000China
- Department of UrologySouth China Hospital of Shenzhen UniversityShenzhen518000China
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Shu DH, Ho WJ, Kagohara LT, Girgis A, Shin SM, Danilova L, Lee JW, Sidiropoulos DN, Mitchell S, Munjal K, Howe K, Bendinelli KJ, Qi H, Mo G, Montagne J, Leatherman JM, Lopez-Vidal TY, Zhu Q, Huff AL, Yuan X, Hernandez A, Coyne EM, Zaidi N, Zabransky DJ, Engle LL, Ogurtsova A, Baretti M, Laheru D, Durham JN, Wang H, Anders R, Jaffee EM, Fertig EJ, Yarchoan M. Immune landscape of tertiary lymphoid structures in hepatocellular carcinoma (HCC) treated with neoadjuvant immune checkpoint blockade. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.16.562104. [PMID: 37904980 PMCID: PMC10614819 DOI: 10.1101/2023.10.16.562104] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Neoadjuvant immunotherapy is thought to produce long-term remissions through induction of antitumor immune responses before removal of the primary tumor. Tertiary lymphoid structures (TLS), germinal center-like structures that can arise within tumors, may contribute to the establishment of immunological memory in this setting, but understanding of their role remains limited. Here, we investigated the contribution of TLS to antitumor immunity in hepatocellular carcinoma (HCC) treated with neoadjuvant immunotherapy. We found that neoadjuvant immunotherapy induced the formation of TLS, which were associated with superior pathologic response, improved relapse free survival, and expansion of the intratumoral T and B cell repertoire. While TLS in viable tumor displayed a highly active mature morphology, in areas of tumor regression we identified an involuted TLS morphology, which was characterized by dispersion of the B cell follicle and persistence of a T cell zone enriched for ongoing antigen presentation and T cell-mature dendritic cell interactions. Involuted TLS showed increased expression of T cell memory markers and expansion of CD8+ cytotoxic and tissue resident memory clonotypes. Collectively, these data reveal the circumstances of TLS dissolution and suggest a functional role for late-stage TLS as sites of T cell memory formation after elimination of viable tumor.
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Affiliation(s)
- Daniel H. Shu
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - Won Jin Ho
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - Luciane T. Kagohara
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - Alexander Girgis
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sarah M. Shin
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ludmila Danilova
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jae W. Lee
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dimitrios N. Sidiropoulos
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - Sarah Mitchell
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kabeer Munjal
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kathryn Howe
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kayla J. Bendinelli
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Hanfei Qi
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Guanglan Mo
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Janelle Montagne
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - James M. Leatherman
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Tamara Y. Lopez-Vidal
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - Qingfeng Zhu
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Amanda L. Huff
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - Xuan Yuan
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Alexei Hernandez
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Erin M. Coyne
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Neeha Zaidi
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - Daniel J. Zabransky
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - Logan L. Engle
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Mark Foundation Center for Advanced Genomics and Imaging, Johns Hopkins University, Baltimore, Maryland
- Bloomberg∼Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland
| | - Aleksandra Ogurtsova
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, Maryland
- The Mark Foundation Center for Advanced Genomics and Imaging, Johns Hopkins University, Baltimore, Maryland
- Bloomberg∼Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland
| | - Marina Baretti
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Daniel Laheru
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
| | - Jennifer N. Durham
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Hao Wang
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Robert Anders
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Elizabeth M. Jaffee
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
- Bloomberg∼Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland
| | - Elana J. Fertig
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Department of Applied Mathematics and Statistics, Johns Hopkins University Whiting School of Engineering, Baltimore, Maryland
| | - Mark Yarchoan
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
- Convergence Institute, Johns Hopkins University, Baltimore, Maryland
- Bloomberg∼Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland
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Norberg SM, Bai K, Sievers C, Robbins Y, Friedman J, Yang X, Kenyon M, Ward E, Schlom J, Gulley J, Lankford A, Semnani R, Sabzevari H, Brough DE, Allen CT. The tumor microenvironment state associates with response to HPV therapeutic vaccination in patients with respiratory papillomatosis. Sci Transl Med 2023; 15:eadj0740. [PMID: 37878675 DOI: 10.1126/scitranslmed.adj0740] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 10/03/2023] [Indexed: 10/27/2023]
Abstract
Recurrent respiratory papillomatosis (RRP) is a rare, debilitating neoplastic disorder caused by chronic infection with human papillomavirus (HPV) type 6 or 11 and characterized by growth of papillomas in the upper aerodigestive tract. There is no approved medical therapy, and patients require repeated debulking procedures to maintain voice and airway function. PRGN-2012 is a gorilla adenovirus immune-therapeutic capable of enhancing HPV 6/11-specific T cell immunity. This first-in-human, phase 1 study (NCT04724980) of adjuvant PRGN-2012 treatment in adult patients with severe, aggressive RRP demonstrates the overall safety and clinically meaningful benefit observed with PRGN-2012, with a 50% complete response rate in patients treated at the highest dose. Responders demonstrate greater expansion of peripheral HPV-specific T cells compared with nonresponders. Additional correlative studies identify an association between reduced baseline papilloma HPV gene expression, greater interferon responses and expression of CXCL9 and CXCL10, and greater papilloma T cell infiltration in responders. Conversely, nonresponders were characterized by greater HPV and CXCL8 gene expression, increased neutrophilic cell infiltration, and reduced T cell papilloma infiltration. These results suggest that papilloma HPV gene expression may regulate interferon signaling and chemokine expression profiles within the tumor microenvironment that cooperate to govern clinical response to therapeutic HPV vaccination in patients with respiratory papillomatosis.
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Affiliation(s)
- Scott M Norberg
- Center for Immune-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Ke Bai
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Cem Sievers
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yvette Robbins
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jay Friedman
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Xinping Yang
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Meg Kenyon
- Center for Immune-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Jeffrey Schlom
- Center for Immune-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - James Gulley
- Center for Immune-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | | | | | | | - Clint T Allen
- Center for Immune-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Surgical Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
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Zhang M, Huang Y, Pan J, Sang C, Lin Y, Dong L, Shen X, Wu Y, Song G, Ji S, Liu F, Wang M, Zheng Y, Zhang S, Wang Z, Ren J, Gao D, Zhou J, Fan J, Wei W, Lin J, Gao Q. An Inflammatory Checkpoint Generated by IL1RN Splicing Offers Therapeutic Opportunity for KRAS-Mutant Intrahepatic Cholangiocarcinoma. Cancer Discov 2023; 13:2248-2269. [PMID: 37486241 DOI: 10.1158/2159-8290.cd-23-0282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/30/2023] [Accepted: 07/20/2023] [Indexed: 07/25/2023]
Abstract
KRAS mutations are causally linked to protumor inflammation and are identified as driving factors in tumorigenesis. Here, using multiomics data gathered from a large set of patients, we showed that KRAS mutation was associated with a specific landscape of alternative mRNA splicing that connected to myeloid inflammation in intrahepatic cholangiocarcinoma (iCCA). Then, we identified a negative feedback mechanism in which the upregulation of interleukin 1 receptor antagonist (IL1RN)-201/203 due to alternative splicing confers vital anti-inflammatory effects in KRAS-mutant iCCA. In KRAS-mutant iCCA mice, both IL1RN-201/203 upregulation and anakinra treatment ignited a significant antitumor immune response by altering neutrophil recruitment and phenotypes. Furthermore, anakinra treatment synergistically enhanced anti-PD-1 therapy to activate intratumoral GZMB+ CD8+ T cells in KRAS-mutant iCCA mice. Clinically, we found that high IL1RN-201/203 levels in patients with KRAS-mutant iCCA were significantly associated with superior response to anti-PD-1 immunotherapy. SIGNIFICANCE This work describes a novel inflammatory checkpoint mediated by IL1RN alternative splicing variants that may serve as a promising basis to develop therapeutic options for KRAS-mutant iCCA and other cancers. This article is featured in Selected Articles from This Issue, p. 2109.
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Affiliation(s)
- Mao Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Yingying Huang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jiaomeng Pan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Chen Sang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Youpei Lin
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Liangqing Dong
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Xia Shen
- Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Yingcheng Wu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Guohe Song
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Shuyi Ji
- Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Fen Liu
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Mengcheng Wang
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Yuyan Zheng
- Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sirui Zhang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Zefeng Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jianke Ren
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Daming Gao
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
- Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
- Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Wu Wei
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Lingang Laboratory, Shanghai, China
- Translational Medicine Institute of Jiangxi, The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Jian Lin
- Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
- Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
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42
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Ren S, Lan T, Wu F, Chen S, Jiang X, Huo C, Li Z, Xie S, Wu D, Wang R, Li Y, Qiu L, Huang G, Li S, Wang X, Cen M, Cai T, Lin Z, Li J, Li B. Intratumoral CD103 + CD8 + T cells predict response to neoadjuvant chemoimmunotherapy in advanced head and neck squamous cell carcinoma. Cancer Commun (Lond) 2023; 43:1143-1163. [PMID: 37658605 PMCID: PMC10565384 DOI: 10.1002/cac2.12480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 06/19/2023] [Accepted: 08/22/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND Immune cell heterogenicity is known to determine the therapeutic response to cancer progression. Neoadjuvant chemoimmunotherapy (NACI) has shown clinical benefits in some patients with advanced head and neck squamous cell carcinoma (HNSCC), but the underlying mechanism behind this clinical response is unknown. The efficacy of NACI needs to be potentiated by identifying accurate biomarkers to predict clinical responses. Here, we attempted to identify molecules predicting NACI response in advanced HNSCC. METHODS We performed combined single-cell RNA sequencing (scRNA-seq) and multiplex immunofluorescence (mIHC) staining with tumor samples derived from NACI-treated HNSCC patients to identify a new tumor-infiltrating cell (TIL) subtype, CD103+ CD8+ TILs, associated with clinical response, while both in vitro and in vivo assays were carried out to determine its antitumor efficiency. The regulatory mechanism of the CD103+ CD8+ TILs population was examined by performing cell-cell interaction analysis of the scRNA-seq data and spatial analysis of the mIHC images. RESULTS We established intratumoral CD103+ CD8+ TILs density as a determinant of NACI efficacy in cancers. Our scRNA-seq results indicated that the population of CD103+ CD8+ TILs was dramatically increased in the responders of NACI-treated HNSCC patients, while mIHC analysis confirmed the correlation between intratumoral CD103+ CD8+ TILs density and NACI efficacy in HNSCC patients. Further receiver operating characteristic curve analysis defined this TIL subset as a potent marker to predict patient response to NACI. Functional assays showed that CD103+ CD8+ TILs were tumor-reactive T cells, while programmed cell death protein-1 (PD-1) blockade enhanced CD103+ CD8+ TILs cytotoxicity against tumor growth in vivo. Mechanistically, targeting the triggering receptor expressed on myeloid cells 2-positive (TREM2+ ) macrophages might enhance the population of CD103+ CD8+ TILs and facilitate antitumor immunity during NACI treatment. CONCLUSIONS Our study highlights the impact of intratumoral CD103+ CD8+ TILs density on NACI efficacy in different cancers, while the efforts to elevate its population warrant further clinical investigation.
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Affiliation(s)
- Siqi Ren
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Tianjun Lan
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Fan Wu
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Suling Chen
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Xue Jiang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Chuying Huo
- Department of Gynecological OncologySun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Zitian Li
- School of Stomatology, Jilin UniversityJilinP. R. China
| | - Shule Xie
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Donghui Wu
- Stomatology Hospital of Haizhu districtGuangdongP. R. China
| | - Ruixin Wang
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Yanyan Li
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Lin Qiu
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Guoxin Huang
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Shurui Li
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Xiaojuan Wang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Meifeng Cen
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Tingting Cai
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
| | - Zhaoyu Lin
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Jinsong Li
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
| | - Bowen Li
- Department of Oral and Maxillofacial SurgerySun Yat‐sen Memorial Hospital of Sun Yat‐sen UniversityGuangdongP. R. China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Guangdong‐Hong Kong Joint Laboratory for RNA MedicineMedical Research Center, Sun Yat‐sen Memorial Hospital, Sun Yat‐sen UniversityGuangdongP. R. China
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Shi Q, Chen X, Zhang Z. Decoding Human Biology and Disease Using Single-cell Omics Technologies. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:926-949. [PMID: 37739168 PMCID: PMC10928380 DOI: 10.1016/j.gpb.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 05/22/2023] [Accepted: 06/08/2023] [Indexed: 09/24/2023]
Abstract
Over the past decade, advances in single-cell omics (SCO) technologies have enabled the investigation of cellular heterogeneity at an unprecedented resolution and scale, opening a new avenue for understanding human biology and disease. In this review, we summarize the developments of sequencing-based SCO technologies and computational methods, and focus on considerable insights acquired from SCO sequencing studies to understand normal and diseased properties, with a particular emphasis on cancer research. We also discuss the technological improvements of SCO and its possible contribution to fundamental research of the human, as well as its great potential in clinical diagnoses and personalized therapies of human disease.
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Affiliation(s)
- Qiang Shi
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China
| | - Xueyan Chen
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China
| | - Zemin Zhang
- Biomedical Pioneering Innovation Center, School of Life Sciences, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Changping Laboratory, Beijing 102206, China.
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44
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Luo Y, Liang H. Single-cell dissection of tumor microenvironmental response and resistance to cancer therapy. Trends Genet 2023; 39:758-772. [PMID: 37658004 PMCID: PMC10529478 DOI: 10.1016/j.tig.2023.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 09/03/2023]
Abstract
Cancer treatment strategies have evolved significantly over the years, with chemotherapy, targeted therapy, and immunotherapy as major pillars. Each modality leads to unique treatment outcomes by interacting with the tumor microenvironment (TME), which imposes a fundamental selective pressure on cancer progression. The advent of single-cell profiling technologies has revolutionized our understanding of the intricate and heterogeneous nature of the TME at an unprecedented resolution. This review delves into the commonalities and differential manifestations of how cancer therapies reshape the microenvironment in diverse cancer types. We highlight how groundbreaking immune checkpoint blockade (ICB) strategies alone or in combination with tumor-targeting treatments are endowed with comprehensive mechanistic insights when decoded at the single-cell level, aiming to drive forward future research directions on personalized treatments.
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Affiliation(s)
- Yikai Luo
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Han Liang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
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45
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Baysoy A, Bai Z, Satija R, Fan R. The technological landscape and applications of single-cell multi-omics. Nat Rev Mol Cell Biol 2023; 24:695-713. [PMID: 37280296 PMCID: PMC10242609 DOI: 10.1038/s41580-023-00615-w] [Citation(s) in RCA: 92] [Impact Index Per Article: 92.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/28/2023] [Indexed: 06/08/2023]
Abstract
Single-cell multi-omics technologies and methods characterize cell states and activities by simultaneously integrating various single-modality omics methods that profile the transcriptome, genome, epigenome, epitranscriptome, proteome, metabolome and other (emerging) omics. Collectively, these methods are revolutionizing molecular cell biology research. In this comprehensive Review, we discuss established multi-omics technologies as well as cutting-edge and state-of-the-art methods in the field. We discuss how multi-omics technologies have been adapted and improved over the past decade using a framework characterized by optimization of throughput and resolution, modality integration, uniqueness and accuracy, and we also discuss multi-omics limitations. We highlight the impact that single-cell multi-omics technologies have had in cell lineage tracing, tissue-specific and cell-specific atlas production, tumour immunology and cancer genetics, and in mapping of cellular spatial information in fundamental and translational research. Finally, we discuss bioinformatics tools that have been developed to link different omics modalities and elucidate functionality through the use of better mathematical modelling and computational methods.
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Affiliation(s)
- Alev Baysoy
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Zhiliang Bai
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Rahul Satija
- New York Genome Center, New York, NY, USA
- Center for Genomics and Systems Biology, New York University, New York, NY, USA
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA.
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46
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Hou P, Luo Y, Wu N. TCL1A+ B cells predict prognosis in triple-negative breast cancer through integrative analysis of single-cell and bulk transcriptomic data. Open Life Sci 2023; 18:20220707. [PMID: 37791059 PMCID: PMC10543705 DOI: 10.1515/biol-2022-0707] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/18/2023] [Accepted: 08/02/2023] [Indexed: 10/05/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype with limited treatment options and high mortality rates. It remains a prevailing clinical need to distinguish whether the patient can benefit from therapy, such as chemotherapy. By integrating single-cell and global transcriptome data, we have for the first time identified TCL1A+ B cell functions that are prognostically relevant in TNBC. This finding broadens the perspective of traditional tumor-infiltrating lymphocytes in predicting survival, especially the potential value of B cells in TNBC. Single-cell RNA-seq data from five TNBC patients were collected to identify the association between immune cell populations and clinical outcomes. Functional analysis was according to gene set enrichment analysis using pathways from MsigDB. Subsequently, the gene signature of TCL1A+ B cells based on differential expression genes of TCL1A+ B cells versus other immune cells was used to explore the correlation with tumor microenvironment (TME) and construct a prognostic signature using a non-parametric and unsupervised method. We identified TCL1A+ B cells as a cluster of B cells associated with clinical outcomes in TNBC. Functional analysis demonstrated its function in B cell activation and regulation of immune response. The highly enriched TCL1A+ B cell population was found to be associated with a thermal TME with anti-tumor effects. A high abundance of TCL1A+ B cell population is positively correlated with a favorable therapeutic outcome, as indicated by longer overall survival. The present study suggests that TCL1A+ B cells play a key role in the treatment and prognostic prediction of TNBC, although further studies are needed to validate our findings. Moreover, the integration of transcriptome data at various resolutions provides a viable approach for the discovery of novel prognostic markers.
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Affiliation(s)
- Peifeng Hou
- Department of Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China
- Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, 350000, China
- Fujian Medical University Stem Cell Research Institute, Fuzhou, Fujian, 350000, China
| | - Yang Luo
- Department of Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China
| | - Ningzi Wu
- Department of Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China
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Kunes RZ, Walle T, Land M, Nawy T, Pe'er D. Supervised discovery of interpretable gene programs from single-cell data. Nat Biotechnol 2023:10.1038/s41587-023-01940-3. [PMID: 37735262 PMCID: PMC10958532 DOI: 10.1038/s41587-023-01940-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 08/09/2023] [Indexed: 09/23/2023]
Abstract
Factor analysis decomposes single-cell gene expression data into a minimal set of gene programs that correspond to processes executed by cells in a sample. However, matrix factorization methods are prone to technical artifacts and poor factor interpretability. We address these concerns with Spectra, an algorithm that combines user-provided gene programs with the detection of novel programs that together best explain expression covariation. Spectra incorporates existing gene sets and cell-type labels as prior biological information, explicitly models cell type and represents input gene sets as a gene-gene knowledge graph using a penalty function to guide factorization toward the input graph. We show that Spectra outperforms existing approaches in challenging tumor immune contexts, as it finds factors that change under immune checkpoint therapy, disentangles the highly correlated features of CD8+ T cell tumor reactivity and exhaustion, finds a program that explains continuous macrophage state changes under therapy and identifies cell-type-specific immune metabolic programs.
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Affiliation(s)
- Russell Z Kunes
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Statistics, Columbia University, New York, NY, USA
| | - Thomas Walle
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Clinical Cooperation Unit Virotherapy, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Max Land
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Tal Nawy
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dana Pe'er
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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Garman B, Jiang C, Daouti S, Kumar S, Mehta P, Jacques MK, Menard L, Manjarrez-Orduno N, Dolfi S, Mukherjee P, Rai SC, Lako A, Koenitzer JD, David JM. Comprehensive immunophenotyping of solid tumor-infiltrating immune cells reveals the expression characteristics of LAG-3 and its ligands. Front Immunol 2023; 14:1151748. [PMID: 37795090 PMCID: PMC10546411 DOI: 10.3389/fimmu.2023.1151748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 09/04/2023] [Indexed: 10/06/2023] Open
Abstract
Background Immune cell expression profiling from patient samples is critical for the successful development of immuno-oncology agents and is useful to understand mechanism-of-action, to identify exploratory biomarkers predictive of response, and to guide treatment selection and combination therapy strategies. LAG-3 is an inhibitory immune checkpoint that can suppress antitumor T-cell responses and targeting LAG-3, in combination with PD-1, is a rational approach to enhance antitumor immunity that has recently demonstrated clinical success. Here, we sought to identify human immune cell subsets that express LAG-3 and its ligands, to characterize the marker expression profile of these subsets, and to investigate the potential relationship between LAG-3 expressing subsets and clinical outcomes to immuno-oncology therapies. Methods Comprehensive high-parameter immunophenotyping was performed using mass and flow cytometry of tumor-infiltrating lymphocytes (TILs) and peripheral blood mononuclear cells (PBMCs) from two independent cohorts of samples from patients with various solid tumor types. Profiling of circulating immune cells by single cell RNA-seq was conducted on samples from a clinical trial cohort of melanoma patients treated with immunotherapy. Results LAG-3 was most highly expressed by subsets of tumor-infiltrating CD8 T central memory (TCM) and effector memory (TEM) cells and was frequently co-expressed with PD-1. We determined that these PD-1+ LAG-3+ CD8 memory T cells exhibited a unique marker profile, with greater expression of activation (CD69, HLA-DR), inhibitory (TIM-3, TIGIT, CTLA-4) and stimulatory (4-1BB, ICOS) markers compared to cells that expressed only PD-1 or LAG-3, or that were negative for both checkpoints. In contrast to tumors, LAG-3 expression was more limited in circulating immune cells from healthy donors and solid tumor patients. Additionally, we found abundant expression of the LAG-3 ligands MHC-II and galectin-3 in diverse immune cell types, whereas FGL1 and LSECtin were minimally expressed by immune cells in the tumor microenvironment (TME). Lastly, we found an inverse relationship between baseline and on-treatment levels of circulating LAG3 transcript-expressing CD8 memory T cells and response to combination PD-1 and CTLA-4 blockade in a clinical trial cohort of melanoma patients profiled by scRNAseq. Conclusions These results provide insights into the nature of LAG-3- and ligand-expressing immune cells within the TME, and suggest a biological basis for informing mechanistic hypotheses, treatment selection strategies, and combination immunotherapy approaches to support continued development of dual PD-1 and LAG-3 blockade.
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Affiliation(s)
- Bradley Garman
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
| | - Can Jiang
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
| | - Sherif Daouti
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
| | - Sanah Kumar
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
| | - Priyanka Mehta
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
| | - Miye K. Jacques
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
| | - Laurence Menard
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
| | | | - Sonia Dolfi
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
| | - Piali Mukherjee
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
- Epigenomics Core Facility, Weill Cornell Medicine, New York City, NY, United States
| | | | - Ana Lako
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
| | | | - Justin M. David
- Translational Medicine, Bristol Myers Squibb, Lawrenceville, NJ, United States
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Zhao H, Wu L, Dai J, Sun K, Zi Z, Guan J, Zhang L. Ligand-based adoptive T cell targeting CA125 in ovarian cancer. J Transl Med 2023; 21:596. [PMID: 37670338 PMCID: PMC10481596 DOI: 10.1186/s12967-023-04271-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 06/13/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Ovarian cancer (OC) is a highly aggressive gynecological malignancy prevalent worldwide. Most OC cases are typically diagnosed at advanced stages, which has led to a 5-year overall survival rate of less than 35% following conventional treatment. Furthermore, immune checkpoint inhibitor therapy has shown limited efficacy in the treatment of patients with OC, and CAR-T therapy has also demonstrated modest results owing to inadequate T cell infiltration. Therefore, novel strategies must be developed to enhance T cell persistence and trafficking within the OC tumor microenvironment. METHODS In this study, we developed a novel adoptive T-cell therapy for ovarian cancer based on a chimeric antigen receptor structure. We used a ligand-receptor binding motif to enhance the therapeutic effect of targeting CA125. Since mesothelin can naturally bind to CA125 with high affinity, we concatenated the core-binding fragment of mesothelin with the 4-1BB and CD3ζ signal fragments to assemble a novel CA125-targeting chimeric receptor (CR). The CAR structure targeting CA125 derived from the 4H11 antibody was also constructed. CR- and CAR-encoding RNA were electroporated into T cells to evaluate their antitumor activity both in vitro and in vivo. RESULTS While CR-T or CAR-T cells exhibited moderate activity against two ovarian cancer cell lines, T cells co-expressing CR and CAR exhibited a superior killing effect compared to T cells expressing either CR or CAR alone. Furthermore, upon interaction with ovarian tumors, the ability of CR and CAR T cells to release activation markers and functional cytokines increased significantly. Similarly, CR and CAR co-expressing T cells persistently controlled the growth of transplanted ovarian cancer tumors in NSG mice and significantly prolonged the overall survival of tumor-challenged mice. Transcriptome sequencing revealed that the survival and cytotoxicity of T cells co-expressing CR and CAR were significantly altered compared with those of T cells expressing either CR or CAR. CONCLUSION Our findings demonstrate that CA125 targeting CR and CAR can synergistically kill ovarian cancer cells, indicating that CA125 targeting by the two binding motifs simultaneously in tumors may improve the therapeutic outcomes of ovarian cancer treatment.
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Affiliation(s)
- Haihong Zhao
- Department of Obstetrics and Gynecology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, 200240, China
| | - Lina Wu
- Department of Obstetrics and Gynecology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, 200240, China
| | - Jiemin Dai
- Department of Obstetrics and Gynecology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, 200240, China
| | - Ke Sun
- Department of Obstetrics and Gynecology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, 200240, China
| | - Zhenguo Zi
- School of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Junhua Guan
- Department of Obstetrics and Gynecology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, 200240, China.
| | - Liwen Zhang
- Department of Obstetrics and Gynecology, The Fifth People's Hospital of Shanghai, Fudan University, Shanghai, 200240, China.
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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50
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Lan X, Zebley CC, Youngblood B. Cellular and molecular waypoints along the path of T cell exhaustion. Sci Immunol 2023; 8:eadg3868. [PMID: 37656775 PMCID: PMC10618911 DOI: 10.1126/sciimmunol.adg3868] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 08/09/2023] [Indexed: 09/03/2023]
Abstract
Thirty years of foundational research investigating molecular and cellular mechanisms promoting T cell exhaustion are now enabling rational design of T cell-based therapies for the treatment of chronic infections and cancer. Once described as a static cell fate, it is now well appreciated that the developmental path toward exhaustion is composed of a heterogeneous pool of cells with varying degrees of effector potential that ultimately converge on a terminally differentiated state. Recent description of the developmental stages along the differentiation trajectory of T cell exhaustion has provided insight into past immunotherapeutic success and future opportunities. Here, we discuss the hallmarks of distinct developmental stages occurring along the path to T cell dysfunction and the impact of these discrete CD8+ T cell fates on cancer immunotherapy.
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Affiliation(s)
- Xin Lan
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- College of Graduate Health Sciences, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Caitlin C. Zebley
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Ben Youngblood
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
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